Thông tin tài liệu
DETERMINANTS OF DIVIDEND PAYOUT RATIO: EVIDENCE FROM
LISTED COMPANIES ON HO CHI MINH STOCK MARKET
In Partial Fulfillment of the Requirements of the Degree of
MASTER OF BUSINESS ADMINISTRATION
By
Mr. Hoang Ba Nghi
ID: MBA05025
International University - Vietnam National University HCMC
August 2014
DETERMINANTS OF DIVIDEND PAYOUT RATIOS: EVIDENCE FROM
LISTED COMPANIES ON HO CHI MINH STOCK MARKET
In Partial Fulfillment of the Requirements of the Degree of
MASTER OF BUSINESS ADMINISTRATION
By
Mr. Hoang Ba Nghi
ID: MBA05025
International University - Vietnam National University HCMC
August 2014
Under the guidance and approval of the committee, and approved by all its members,
this proposal thesis has been accepted in partial fulfillment of the requirements for the
degree.
Approved:
---------------------------------------------Chairperson
---------------------------------------Committee member
---------------------------------------------Committee member
---------------------------------------Committee member
---------------------------------------------Committee member
---------------------------------------Committee member
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Acknowledge
This thesis report is about the Determinants of dividend payout ratios: Evidence
from listed companies on Ho Chi Minh Stock Market for the period of 2008-2012 would
not have been possible without valuable contribution of all teachers from school of
Business.
I would like to thank to the International University, Vietnam National University –
Ho Chi Minh City for giving us a great opportunity to practice and learn more
knowledge, especially in the field of finance. I especially appreciated the School of
Business that helped me have good condition to do the necessary research work and
archive the results.
I am deeply indebted to my thesis project advisor Dr. Nguyen Van Phuong, for his
patience, guidance and advice throughout this plan. He was always keeping his eyes on
my research. This gave me the efforts which proved valuable for the success of this thesis
project.
Finally, I would like to thank my parents, also my friends for supporting and
encouraging me throughout my studies. With their love, I could finish this work.
I hope this will serve as a valuable resource for whose major or carrier related to
this field.
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Plagiarism Statements
I would like to declare that, apart from the acknowledged references, this thesis
either does not use language, ideas, or other original material from anyone; or has not
been previously submitted to any other educational and research programs or institutions.
I fully understand that any writings in this thesis contradicted to the above statement will
automatically lead to the rejection from the MBA program at the International University
– Vietnam National University Ho Chi Minh City.
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Copyright Statement
This copy of the thesis has been supplied on condition that anyone who consults it
is understood to recognize that its copyright rests with its author and that no quotation
from the thesis and no information derived from it may be published without the author’s
prior consent.
© Hoang Ba Nghi / MBA05025 / 2014
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Table of Contents
Chapter One - Introduction .......................................................................... 1
1.1 General ideas ...................................................................................... 1
1.2 Rationale ............................................................................................. 3
1.3 Problem definition .............................................................................. 4
1.4 Objectives ........................................................................................... 5
1.5 Research questions ............................................................................. 6
1.6 Contributions ...................................................................................... 6
1.7 Scope and limitations ......................................................................... 7
1.8 Recommendation for future research ................................................. 8
1.9 Structure of the paper ......................................................................... 8
Chapter Two - Literature review ................................................................. 9
2.1 Definitions .......................................................................................... 9
2.2 Theories of dividend payment ............................................................ 10
2.2.1 Modigliani-Miller Dividend Irrelevance Theory ..................... 10
2.2.2 The “Bird in Hand” Theory ..................................................... 13
2.2.3 Signaling Theory...................................................................... 15
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2.2.4 Agency Theory......................................................................... 17
2.3 Determinants of dividend payout ratio and hypothesis ...................... 19
2.3.1 Financial leverage .................................................................... 19
2.3.2 Investment ................................................................................ 20
2.3.3 Risk .......................................................................................... 20
2.3.4 Corporate income tax ............................................................... 21
2.3.5 Liquidity................................................................................... 22
2.3.6 Firm size................................................................................... 23
2.3.7 Structure of asset ...................................................................... 23
2.3.8 Sales Growth ............................................................................ 24
2.3.9 Cash flow ................................................................................. 25
2.3.10 Market – to – book value ....................................................... 25
2.3.11 Ownership concentration ....................................................... 26
2.3.12 Return on equity..................................................................... 27
2.4 Model for research.............................................................................. 29
2.5 Hypotheses ......................................................................................... 30
Chapter Three – Research Methodology ..................................................... 32
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3.1 Problem statement ............................................................................. 32
3.2 Research objectives ........................................................................... 33
3.3 Data ................................................................................................... 33
3.4 Research method ............................................................................... 35
3.5 Data analysis procedures .................................................................... 36
3.6 Data analysis types and methods ...................................................... 36
3.7 Sample collection and data analysis ................................................. 38
Chapter Four: Data analysis ......................................................................... 39
4.1. Sample description ............................................................................ 39
4.2. Panel data models ............................................................................. 41
4.2.1 Fixed effect – Hausman test ..................................................... 41
4.2.2 Checking correlation ................................................................ 43
4.2.3 Pooled OLS analysis ................................................................ 46
4.2.4 Testing multi-collinearity......................................................... 47
4.2.5 Linear regression with large dummy variables set .................. 49
4.2.6 Linear regression with lagged dependent variable................... 51
4.3 Discussion .......................................................................................... 54
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4.4 Answer research question ................................................................... 58
4.4.1 Question 1 ................................................................................ 58
4.4.1.1 Financial leverage ................................................................. 59
4.4.1.2 Return on equity.................................................................... 60
4.4.1.3 Corporate income tax ............................................................ 61
4.4.2 Question 2 ................................................................................ 61
Chapter Five – Conclusion ............................................................................ 64
5.1 Conclusion .......................................................................................... 64
5.2 Contribution........................................................................................ 65
5.3 Recommendation ................................................................................ 66
References .................................................................................................... 68
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List of table
Table 4.1 Descriptive Statistic from 2008 to 2012 .......................................... 40
Table 4.2 Hausman test result ......................................................................... 43
Table 4.3 Correlation matrix ........................................................................... 45
Table 4.4 OLS regression result ...................................................................... 47
Table 4.5 VIF result ......................................................................................... 48
Table 4.6 Linear regression with large dummy variables set result ............... 50
Table 4.7 Linear regression with lagged dependent variables ........................ 53
Table 4.8 Result comparison............................................................................ 55
Table 4.9 Comparison between empirical evidence and results...................... 56
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Abstract
The main purpose of this paper research is to find out the association between
dividend policy and financial leverage, investment, risk, corporate tax, liquidity, size,
structure of asset, sale growth, cash flow, market-to-book value, ownership
concentration, sale size, and return on equity of listed companies on Ho Chi Minh City
Stock Exchange (HOSE). The sample consisted of 301 listed firms on HOSE in five
years range, from the year of 2008 and 2012. The study is carried out in form of
quantitative research approach with a deductive method. And we have based on some
previous dividend theories including: the dividend irrelevance theory, the bird in hand
theory, the signaling theory and the agency theory. So as to examine whether it exists the
relationship between the selected factors and the dividend payout ratio, the paper uses
both an Ordinary least square (OLS) and a linear regression. Multi-collinearity tests were
also analyzed so as to prove that no multi-collinearity affected the results of the study
research. The result indicates that some of the selected determinants have an impact on
the companies’ dividend payout ratios. Especially, return on equity is the strongest
positive impact on dividend payout ratio.
Keywords: Dividend policy, Financial leverage, Investment, Risk, Corporate tax,
Liquidity, Size, Structure of asset, Sale growth, Cash flow, Market-to-book value,
Ownership concentration, Sale size, and Return on equity.
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Chapter One - Introduction
The main purpose of this first chapter is to provide a framework for this
research paper with details following in subsequent chapters. A major
component of the chapter is a statement of the research problem to be
examined in the following chapters.
1.1 General ideas
In corporate finance, dividend policy is paid much attention on. Based on the
business perspective, the dividend is a significant source of money to be settled
outside. For instance, in particular 1995, the listed companies on the New York Stock
Exchange had paid up the amount up to USD 130 billion of dividends for
shareholders. In terms of research, the dividend policy is a matter of controversy.
The question of whether businesses should pay dividends to shareholders or
retain that income to reinvest to other projects for earning more profit purpose
remains unclear. According to Lease (2000, p.29), the term of ‘dividend policy’ refers
to the practice that management follows in making dividend payout decisions.
Normally, dividend is defined as a sum of money from the company’s profits paid
commonly to investors. In another way, the dividend is the profit-sharing to the
company’s investors, compensating them back part of the capital. Likewise the
strategic options, the dividend is considered as an easy way for investors to get profit
from possessing stocks without trading them. Normally, the board of directors gives
the decision of how much should pay as dividend to the shareholders of a firm. The
matter of dividend payout ratio continues as one of the most challenging and dubious
issues in corporate finance and financial economies. The company can reinvest in
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operations in future with the hope of creating more earnings, and market price of the
company in the future will be more appreciated. Either the company will payout a
certain percentage of profits to stockholders under the form of dividends. In the case
of the first option, the company should maintain consistent and instant growth to
demonstrate a convincing manner that the re-investment will generate a rate of return
for investors greater than receiving dividend.
In general, the company’s slow development means that the financing
opportunities in future are not appreciative, its stock price will not be increased much
more and the company should pay dividends to shareholders. The dividend enigma
has been an enduring problem in finance without being resolved. Allen, Antonio and
Ivo (2000) outlines the current harmony view when they come to the conclusion
“Although a number of theories have been put forward in the literature to explain their
popular presence, dividends remain one of the most enigmatic matters in corporate
finance”.
A few theoretical literatures on dividend payout policy have conciliated the
unquestionable logic of their dividend irrelevance axiom with the assumption that
both managers and markets recognize payouts either in stock or cash as form of
dividend. The academic work on this issue proposed five possible weaknesses that
management should consider, like as taxes, asymmetric information, incomplete
contracts, institutional constraints, and transaction costs (Allen et al., 2000). Previous
observational literatures have found out several determinants that are critical for
dividend payout policy. Lintner (1956) describes the dividend payment arrangement
of a corporation is substantially attributed to current year earnings (E0) and preceding
year dividends (Dt-1).
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Pursuant by Modigliani and Miller (1963) theorem, the reaction of tax on
dividend payout policy has been examined a lot of literatures. Nonetheless, primary
experimental investigations have been checked through linked variables that are
necessary to describe and conclude what factors have remarkable impact on dividend
payout policy (Black and Scholes, 1974; Miller and Rock, 1985).
In general, developing firm holds retain earnings for its internal funding and pay
fewer dividends since in this concern the return on investment is high. Consequently,
it becomes an imperative issue of interest in financial literatures to investigate how
much to pay to the shareholders in cash or in stock. The former, that is, the cash
dividends are two ways to distribute cash to stockholders: stock repurchases or
dividends. Such dividends are paid out in cash and are usually taxable to the
beneficiary in the year they are paid. The latter, that is, the stock dividends are those
made payment in the form of supplementary stock/stocks of the issuing firm.
Commonly, stock dividends are issued in fraction to share owners. To support and to
have ideal measure of the factors analyzing dividend payout policy, the study consults
both cash and stock dividend. Several intellectual publications have pursuit to build
up theoretical models that managers should consider when making dividend payout
decisions. Only a little literature, especially for dividend determinants in Vietnam has
focused on empirical estimations.
1.2. Rationale
It is generally recognized that the particular choice of dividend payout by a
business at a given point of time has important implications for a variety of
considerations of significance to management, particularly those of future investments
and attraction of new equity capital.
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Dividend, because of its nature of cash disbursement, is normally thought as
contributing to the opportunity for getting attention of current and potential investors.
Dividend policy is an important part of the financial policy of the enterprise as it has
not a direct impact on the benefits of the shareholders, but also influence on the
company’s development. Around the world, there are many different studies on
dividend policy, but it is still a problem even more controversial. Along with the
development of the Vietnam stock market, dividend policies of Vietnamese
enterprises increasingly play an important role. They have recently emerged as one of
the issues being much focused by investors, and businesses have not yet been acutely
highlighted the emphasis of the dividend policies of its financial activities, therefore it
has revealed some problems and shortcomings. This research hopes to get the real
picture being painted dividend policy of state enterprises in Ho Chi Minh City stock
market in the past five years and thereby points out the problem existing, as well as
issues rational proposals for market. Wishing to contribute for research importance
elements to the goal of maximizing shareholder assets , as well as further analysis of
dividend distribution decisions, I would like to choose the topic: " Determinants of
Dividend Payout Ratios: Evidence from listed companies on HOSE "to study science
subjects.
1.3. Problem definition
Companies can use internal or external sources to manage their investments.
Internal sources comprise retained earnings and depreciation, while external sources
radically indicate new borrowings or stock issue. Hence, the funding decision
comprises the evaluation of two choices. The first choice is the dividend choice (the
ratio of retained earnings to be reinvested and the ratio to be paid out as dividends).
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The other is the capital structure choice – the portion of external finance to be
obtained and the portion to be raised in the form of new equity. There is an imperative
gap in modern finance theory on the issue of corporate dividend policy. The doctrine
should be able to explain the reason why dividends signal both “good” and “bad”
news.
For years, the term "information content of dividends" has been frequently used
in finance literature (Watts, 1973; Laub, 1976 and Venkatesh, 1989). The phrase
refers to the hypothesis which shows that dividends transfer information about future
interests - information that allows market participants to predict future earnings more
precisely. Lintner (1956) is one of the first to suggest that current dividends depend
on future as well as current and past earnings. Subsequently, a debate over the
dependence of a firm's market value on the degree at which dividends are paid out of
earnings (dividend payout rate) developed in the literature. Modigliani and Miller
(1963) demonstrated, under the premises of pure capital markets, rational behavior,
and duty-free, that the value of the firm does not rely on the firm’s dividend payout
rate. Previous studies being conducted on dividend payout do not agree that whether
payouts signal positive or negative conditions about a corporation (Watts, 1973).
Also, prior empirical evidence regarding the impact of dividend taxes on firm
valuation is mixed (Gentry, William, Deen, and Christopher, 2003).
1.4. Objectives
Thematic objective is based on the theories and practical evidences of dividend
policies around the world to reach the analysis and evaluation of the dividend policy
of listed companies on the HoChiMinh City stock market, which can be representative
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for Vietnam stock market. Since then, a significance proposal is set up for building
appropriate dividend policy for the listed companies in the future.
Therefore, the research will mainly focus in declaring the following objectives:
To examine the factors that determine the dividend payout ratio in HOSE’s
market
To analyze the impact of proposed determinants on dividend payout ratio
policy.
1.5. Research questions
Thus, the research questions of this study are:
- What is the specific relationship between the dividend payout ratio and
selected factors for listed company in HOSE?
- Whether the degree of significance determinants on payout ratio policy is
homologous according to collected data?
1.6. Contributions
This research just adds a little bit of something to an already existing work, its
main target is to make a valuable contribution by innovating on the rich existing
literature. One of the proposed contributions of this paper is to investigate the
explanatory variable’s signs and their significance. An important usefulness of this
paper is to find out whether there are any significant differences in the parameter
values over the time period 2008 to 2012. Both theoretical and empirical approaches
are undertaken with the purpose to contribute a more comprehensive aspect on the
subject. Particularly, literature review is devoted to a review of previous theoretical
and experimental literature on the dividend decision controversy around the world.
This study attempts to innovate on existing academic work is by concentrating on
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emerging, particular HoChiMinh City market, as opposed to developed. As noted in
the literature review part, less of the theoretical and observational studies that deal
with financing decisions are Vietnam based. Finally, the study builds decision models
of dividend policy in the business, and proposes appropriate selection dividend policy
for firms listed on the stock market in HoChiMinhCity.
1.7. Scope and limitations
The research is only the synthetic observations, analysis bases on data being
published in the mass media without the survey questionnaire of measuring the impact
of these factors to decide dividend policy of listed companies in Vietnam.
This study is for the listed companies in particular; all joint stock companies in
general, a proper level of awareness and rational importance of dividend policy and its
impact to value businesses through theoretical analysis. Therefore, this study ignores
many of the theoretical views of other dividends. For example: Brennan theory (based
on the model of capital asset pricing (CAPM), Brennan announces that pre-tax
income of a stock has the linear relationship with the systemic risk and the ratio
dividend, and the ratio dividend, higher pre-tax income is to offset the taxable
dividends that shareholders receive) or theoretical Elton and Gruber (given that the
reduction in the share price on the ex dividend low than the dividend per share).
This study remains obvious limitations being needed to be overcome,
supplement and deeper analysis to be more complete, more highly applicable to
partially contribute to the overall development of Vietnam stock market in the future.
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1.8. Recommend for future research
Based on the literature explored, the paper aims to identify the factors determine
the dividend policy for companies on HoChiMinh City stock market. By studying
dividend policy of these companies using elements model, it is hoped to create a basis
for future study of dividend determinants of other industry in Vietnam too. The
subject can be extended by the analysis of other policies by stock dividend, buying
back shares and evaluating the combined effects of all of these dividend policies and
corporate values. The empirical findings have significant roles for operators and
policy makers to apply the same methodology to determine the determinants of
dividend policy factors of other industries in Vietnam.
1.9. Structure of the paper
Chapter 1: Introduction, presenting the foundation to set up the topic, problem
statement, objectives, scope, significance and contribution of the paper.
Chapter 2: Literature review, presenting theories, definitions related to
dividend policy, exposing model and research results of previous research related to
this topic. Suggesting research model for this paper.
Chapter 3: Research Methodology, presenting the research approach, the way
to take sample, measures, method of analyzing data.
Chapter 4: Data analysis, analyse the data and provides the descriptive
statistics table for all the regression variables.
Chapter 5: Conclusion, summarizing the research results of the topic -the
determinants of dividend payout based on companies listed on HOSE.
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Chapter Two – Literature review
The main purpose of this chapter is examining historically significant
research studies that act as the basis for the proposed study. With a view to
implement the main purpose of this paper, the component problem
statements are identified as follow:
“Determinants of dividend payout ratios: Evidence from listed companies on
HCM Stock market”
This literature search is carried out to find materials relevant to dividend
payout ratios, and other determinants that have the relationship with such
as: financial leverage, investment, market-to-book value ratio, cash flow,
liquidity, ownership concentration, sales growth, firm size, return on equity,
corporate tax, risk, structure of asset. These materials include books, ebooks, materials issued by advisors and so forth.
2.1. Definitions
Investopedia defines “dividend payout ratio” as how well earnings approve the
dividend payments. In the U.K., they often use a similar ratio called dividend cover. It
is calculated as earnings per share divided by dividends per share. The dividend
payout policy is really one of the most controversial subjects within corporate finance
field and some scholastics treat the company’s dividend payout policy an unsolved
puzzle. Although a large scale amount of research regarding dividends has been
conducted, there is no homogeneous response for the question: what are the
determinants of the companies’ dividend payout ratios? There exist many reasons for
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why companies should pay or not to pay dividends. For example, the dividend payout
is critical for investors because:
Dividends present certainty about the company’s financial welfare,
Dividends are attractive for investors looking for securing current income, and
Dividends help preserve market price of the share.
Companies that have an enduring past record of unchanged dividend payouts
would be negatively influenced by lowering or eliminating dividend distributions.
These companies would be positively influenced by upgrading dividend payouts or
making supplementary payouts of the same dividends. Moreover, companies without
paying a dividend in the past are perceived favorably when they inform new
dividends.
A decline dividends payout is looked badly by investors, and the stock price
usually decreases as investors pursue other dividend-paying stocks. An unfluctuating
dividend payout ratio illustrates a solid payout policy by the board of directors. The
dividend payout ratio supports an idea of how well earnings approve the dividend
payments. More grown-up companies favor to have a higher payout ratio.
2.2. The theories related to dividend payment
2.2.1. Modigliani-Miller Dividend Irrelevance Theory
Franco Modigliani and Merton Miller (1961) present one of the most influential
dividend theories and even though it is generated for more than 50 years ago, it is still
seen as one of the most respected theories. When the theory is presented in the article
“Dividend policy, the valuation of shares and the growth” it provides a new
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benchmark and changes the view that both practitioners and academics have towards
dividends. Before the publication of Modigliani-Miller‘s dividend irrelevance theory,
the general view is that dividends are highly correlated to the value of the stock
(Baker, 2009, p.98). As the name of the theory suggests, it states that under perfect
capital markets, the dividend policy is liberated to the value of the company, and it
does not issue whether the company has high or low dividend payments. Modigliani
and Miller (1961) use three criteria in order to define a perfect capital market:
Perfect capital market - no single actor on the market is immense enough to
affect the market price of a guarantee security and everyone has entry to the
alike costless information, i.e. no actor has an information advantage. Another
important presumption is that there are no transaction costs or taxes and all
actors can operate on the market under the same conditions.
Rational behavior – it only states that all actors on the market prefer more
belongings to less. It also assumes that it does not matter whether the actors
receive the rise in revenue in the pattern of capital gains from the dividend or
stock payments.
Perfect certainty - all actors on the market has the same report and knows the
return of each security in the future.
Therefore, it is possible to make the assumption that there only exists security
which Modigliani and Miller assign to as stocks. In respect to the assumptions
discussed above, the dividend payments become irrelevant for the shareholders.
Because of paying dividends, the company has to issue new shares in order to raise
the needed capital. As the new stocks are issued, the price of the stocks will drop in
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equal proportions to the dividend payments and the decrease in stock price and the
dividend payments will cancel each other out. For example, if the company pays a
dividend of 10 VND the shareholders receive 10 VND for each of the shares owned.
Simultaneously the stock price will decrease 10 VND since more shares are issued in
order to raise capital, the shareholders are therefore equally well off no matter the
dividend payments.
Modigliani and Miller also explain that the shareholders are capable of
constructing their own homemade dividends. Like for instance, if the company does
not pay dividends but the shareholder prefers 2 percent dividend he can sell 2 percent
of his stocks and thus creates a homemade dividend. The adverse is of course also
true, if the company pays a higher dividend than the shareholder prefers he can use
the surplus dividends to buy additional stocks (Brigham & Houston, 2011, p.484).
These two arguments discussed above are the underlying assumption of the
irrelevance hypothesis and according to these arguments shareholders should be
indifferent between capital gains and dividends. This in turn contributes to that the
shareholders are unwilling to pay a greater price for dividend paying stocks which in
turns make the question of dividends irrelevant. According to M&M theorem, under
perfect condition of capital market, the company’s dividend payout policies do not
influence the value of a firm. A number of previous research studies examine the
validity of Modigliani and Miller’s theories and the propositions have both been
supported and rejected by various academics. Black and Scholes (1974) favors the
results of Modigliani and Miller and states that companies are able to adjust dividend
payments in accordance with the preferences of tax-induced investors, and for this
reason there are no relationship between dividends and stock returns. Another
prominent research made by Miller, Merton and Scholes (1978) also maintain the
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propositions in the dividend irrelevance theory and they identify that even though the
tax rate for dividends and capital gains are different under the US tax system the
dividends do not involve the value of the corporation.
2.2.2. The “Bird in Hand” Theory
The opposing view towards Modigliani and Miller’s dividend irrelevance theory
is that dividends affect the company’s value and this assumption is represented by the
so called “bird in hand theory”. The theory is first mentioned by Lintner (1956) and it
has been supported by various researchers including Gordon (1959&1962). Hence it
is one of the most well-known and respected dividend theories. The name “bird in
hand” is the umbrella term for all studies that argues that dividends are positively
correlated to the company’s value. Expressed in financial terms, the theory says that
investors prefer to invest in stocks that pay current dividend rather than to invest in
stocks that retain earnings and pay dividends in the future. This is because of the high
degree of uncertainty related to capital gains and dividends paid in the future. Current
dividends are more predictable than capital gains, as the stock price is ascertain by
market forces and not by the managers it has a higher degree of uncertainty (Keown,
Martin, Petty & Scott 2007, p.418).
Gordon’s (1962) dividend model is based on the following assumptions:
The company is all equity financed and no external financing is used. The
company finances all investment with retained earnings.
The retention ratio, cost of capital, and internal rate of return is constant.
The company has an eternal life.
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The underlying assumptions of Gordon’s model is based on the idea of what is
available today compared to what may be available in the future (Khan & Jain, 2008,
p.30). It is based on the logic that the distant the future is, the higher the uncertainty
regarding capital gains and future dividends is. Even though the capital gains in the
future may provide a higher return than the current dividends, there is no guarantee
that the investor will accumulate a higher return due to the high degree of uncertainty
(Gordon, 1962). Since the length of the time and the level of risk are correlated,
investors are unwilling to invest in companies where the time until the dividend
payments are far away. Therefore an investor would be willing to pay a higher price
for firms that pay current dividends. For companies who do not pay current dividends,
the investor would use a higher discount rate in order to discount the earnings and the
value of these companies should therefore be lower than the companies who pay
current dividends (Khan & Jain, 2008, p.30). The opposite is of course also true,
companies who pay current dividends have a lower level of retained earnings which
contributes to lower discount rate which in turn contributes to a higher value of the
firm.
The bird in hand theory has been subject to a large amount of criticism and
opponents to the theory states that it excludes important factors. Keown et.al (2007)
argues against the theory and says that increases in current dividends do not decrease
the riskiness of the company; it does in fact work in the opposite direction. Because if
an increase in dividend payments are made, the managers have to issue new stocks in
order to raise the needed capital. Therefore a dividend payment just transfers the risk
from the old to the new shareholders. But even though the theory contains some
limitation, Keown et.al (2007) argues that there are still many individual investors and
financial institutions who consider that dividends are important and it is, therefore, of
15
critical to comprise the theory even though it has some limitations. As we state in the
section above, the bird in hand theory is the opposing view towards Modigliani and
Miller’s dividend irrelevance theory and it says among other things that companies
with greater earnings pay more dividends to its shareholders. As this view is the
opposite view, compared to Modigliani and Miller’s, we think that it would be
engaging to consider whether companies with a greater profit pay more dividends to
its shareholders.
2.2.3. Signaling Theory
The signaling theory of dividends has its origins in Lintner’s (1956) studies who
reveals that the stock price of a company usually changes when the dividend
payments changes. Even though Modigliani and Miller (1961) argues in favor of the
dividend irrelevance they also states that in the real world disregarding the perfect
capital markets, dividend supports an “information content” which may influence the
market price of the stock. A number of researchers have thereafter been promoting the
signaling theory and today it is seen as one of the most influential dividend theories.
Bhattacharya (1979) introduces one of the most acknowledged studies regarding
signaling theories which states that dividends may function as a sign of expected
future cash flows. A raise in the dividends announces that the executives require
higher cash flows in the future. The research is relied on the assumptions that outside
investors have imperfect information respecting the corporate future cash flows and
capital gains. Another important assumption is that dividends are taxed at a higher
rate comparatively to capital gains. Bhattacharya (1979) discusses that under these
circumstances, even though there is a tax disadvantage for dividends, firms would
choose to pay dividends so as to send positive signals to shareholders and outside
16
investors. Baker (2009) affirms that a corporate origin of information like accounting
data and future forecast reports are not totally trustworthy. These kinds of information
do not thoroughly perform a company’s beneficial business occasions in the future.
Provided that outside investors have imperfect information concerning the firm’s
profit circumstances, the firm has to search other ways to persuade investors about
future cash flows and earnings. Hence, favorable signals like raising dividends
provide a favorable sign to investors. Although dividends have a higher tax rate
comparatively to capital gains, outside investors are pleasing to pay at this rate for
dividends in exchange for the effective signal dividends send as regards the value of
the stocks. As a result of the signaling capability, dividends may be able to transform
inefficient markets to perfect markets with full information efficiency. The signaling
hypothesis is further developed by Miller and Rock (1985) who state that there is a
high degree of information asymmetry between managers and outside investors. They
further state that almost any company is able to pay small dividends to its
shareholders regardless of whether its future outlooks are positive or negative.
Consequently, if the dividend payments should be seen as a signal for profitable
future business opportunities the dividend has to be enough large so that only
companies with profitable future prospects can afford to pay it. Otherwise, companies
with poor future prospects would just copy the signals and pay the same amount of
dividends in order to send false signals to investors.
Lots of researches have been handled to test if the signaling theory applies in
the real world and there exist different opinions regarding the applicability of the
signaling theory. Asquith and Mullins (1983) provide empirical evidence in favor of
the signaling theory. They argue that an increase of dividend payments tends to
increase the shareholders wealth. They also state that dividends contain information
17
which is not accessible in other sources of information for instance accounting data.
But the signaling theory cannot be seen as applicable in all situations and a lot of
researchers have found various drawbacks with the theory; for example, Pettit (1972)
and Black (1976) state that the informational role of dividends are exaggerated and
there exist less expensive way to signal the same information to shareholders.
2.2.4. Agency Theory
The agency theory is one of the most respected dividend theories and it has been
extensively debated among various scholars. One of the most influential studies
regarding agency costs is presented by Jensen and Meckling (1976). The study
provides a new view of the agency problem and most studies concerning agency costs
use Jensen and Meckling’s research as a criterion. They describe the agency cost as a
cost that arises between the principals (stockholders) and the agents (management),
where the principals hire and delegate the agents with a power to maximize the wealth
of the principals. They further state that only bonds and stocks can be applied as
claims for the company. Hence, only shareholders and creditors can be seen as
principals. Jensen and Meckling present a prominent research regarding agency costs
and they provide a clear definition of what the agency cost is. But they do not provide
a thorough corroboration regarding the effect of agency cost on dividend policies and
many scholars have been trying to develop the theory.
Easterbrook (1984) presents another study regarding agency costs and his result
supports the findings made by Jensen (1976) and Rozeff (1982). Easterbrook
organizes an investigation of whether dividend disbursement can be used to minimize
the agency costs between investors and executives; he states that two causes influence
the agency costs in a company, monitoring costs and the risk aversion preferences of
18
executives. The monitoring costs induce by the shareholders so as to manage the
executives and avoid them from conforming their own personal agendas despite of
maximizing the equity value of the shareholders. The second one of agency costs is
the risk aversion preferences of managers. The issue arises because most of the
shareholders have expanded portfolios and they are therefore only interested in
systematic risk which can’t be removed through diversification. In difference to
shareholders, executives usually have a large number of their personal wealth
associated with the company. For that reason, if the company is loss or even goes
bankrupt, the managers’ personal property turns into strongly influenced. The
managers will be more risk averse in comparisons with the shareholders and they
might reduce potential high value project because of their risk aversion preferences.
According to Easterbrook (1984), these two causes of agency cost could be
eliminated by paying dividends to shareholders. Nevertheless, Easterbrook further
announces that dividends are worthless in themselves and companies should as a
result only pay dividends so as to eliminate agency conflicts. Another theory that
suggests the agency cost is the free cash flow theory (Jensen, 1986). The research
explains that the agency costs increase while the free cash flow arises, because the
shareholders have to boost the management to avoid the managers from engaging in
enormous spending or losing investments, for example empire building. This can be
made clearly by the positive interaction between the company size and the
enumeration plan of management (Murphy, 1985). In order to prevent these kinds of
conflicts between shareholders and managers, Jensen argues that companies should
pay excessive free cash flow in form of dividends to shareholders. Otherwise the
managers may follow their own personal interest instead of maximizing the wealth of
the shareholders.
19
2.3. Determinants of dividend payout ratio and hypotheses
2.3.1. Financial leverage
Financial leverage (sometimes referred to as gearing in the United Kingdom and
Australia) is the application of borrowed money to boost production amount, and so
sales and earnings. The larger amount of debt, the larger the financial leverage. An
“unleveraged firm” uses only equity capital when in fact a “leveraged firm” uses a
mixture of equity and various forms of debt.
One of key motivation for this paper is the observation of Adedeji (1998) in UK
that there is a positive reaction between dividend payout ratio and financial leverage
over the period 1993 – 1996 in the United Kingdom. Moreover, Chang and Rhee
(1990) also state a positive reaction because they explain that higher financial
leverage exists in reaction to lowering shareholder tax rates, hence it makes the firm
pleasing to pay higher dividends.
On the opposite, point of view of Jensen (1992) is unfamiliar in that they
believes making finance from equity is more pleasant to firms having high dividend
ratios than from the debt, hence low scale of long-term debt over the book value of
total assets frequently happen in these companies. Bebczuk (2005) and Kowalewski
(2008) admit with the idea of Jensen (1992) in that they consider that firms with high
leverage seem not want to compensate high dividends and take more loans with the
intent of restricting default risk. Impartially, Al-Najjar and Hussainey (2009)
announce there is no reaction between these two factors due to the statistically
insignificant outcomes of hypothesis tests. Naceur’s (2006) results confirm that the
total debt over the equity market value does not influence the dividend yield.
20
2.3.2. Investment
Ardestani (2013) investigates the significance of investment opportunity set and
corporate financing on dividend payout policy of Malaysian industrial products zone
by selecting 62 listed companies on the main board of Bursa Malaysia. The result
suggests that investment debt maturity and opportunity set are the components that
significantly impact dividend payout policy of the sample firms. In most case,
financial clinicians are arranged into three groups on the basis of their faiths on the
influence of dividend policy on firm value. The first group considers that dividends
contain information content that an increase in the dividend payout raises firm value
(Lonie, 1996; McCluskey, 2006). The second is at the point of view that an increase
in dividend has a tendency to diminish share price because (i) it suggests that firms
have an insufficiency of positive NPV projects needing investment (Ghosh and
Woolridge, 1988; Soter,1996) or (ii) it guides to higher taxation payments when the
income tax is greater than that a capital gains (Lasfer, 1995; Bell and Jenkinson,
2002). The third group believes that dividend policy has no effect on firm value
(Uddin, 2003; Kaleem and Salahuddin, 2006).
2.3.3. Risk
Al-Najjar and Hussainey (2009) determine business risk as the chance of
decrease in returns on investment due to exceptional circumstances. Under transaction
cost theory, Rozeff (1982) offers that the transaction costs of external financing will
be greater when the firm has greater operating and financial leverage, or more risks
that can be calculated through the greater beta coefficient. Chang and Rhee (1990)
propose the negative reaction that a firm with lower risk or more stability of earnings
has more capability for remaining or paying out more dividends in the future.
21
Aivazain (2003), together with Li and Zhao (2008) recognize with the suggestion of
Chang and Rhee’s (1990) in that they conclude that the lower the business risk the
higher the dividends shell out.
In addition, it has been argued that high-risk firms tend to have a higher
volatility in their cash flows, than low-risk firms. Consequently, the external financing
requirement of such firms will increase, driving them to reduce the dividend payout to
avoid costly external financing (Higgins, 1972; McCabe, 1979; Rozeff, 1982). Jensen
(1992) contends that greater systematic risk increases the uncertainty of the direct
relationship between current and expected future profits. Hence, firms avoid
commitment to pay large dividends, as the uncertainty about earnings increases.
Mohd (1995) also reports an inverse relationship between the dividend ratio and
intrinsic business risk, proxies by beta. He indicates that firms with unstable earnings
pay lower dividends, in an attempt to keep the dividend payout stable and to avoid the
high cost of external financing. In contrast, Mollah (2002) finds that firms listed on
the Dhaka Stock Exchange pay a large dividend, even though the beta for their stock
is high.
2.3.4. Corporate income tax
Tax, in the real world, is a very important issue that needs to be concerned.
Corporate income tax is expected to have a negative impact on dividend payout ratio.
If the tax rate of a country is increased, ‘all things being equal’ there will be a
reduction in the amount of distributable earnings left to be paid out as dividend hence
the negative impact.
Bhattacharya (1979) argues that under these circumstances (investors have
imperfect information in relation to the company’s future cash flows and capital
22
gains; another important assumption is that dividends are at the higher tax rate
compared to capital gains) even though there is a tax disadvantage for dividends,
corporate would choose to pay dividends with the purpose to send positive signals to
shareholders and outside investors.
Tax-adjusted model (Miller, 1986) presumes that investors require and secure
higher expected returns on shares of dividend-paying stocks. The consequence of taxadjusted theory is division of investors into dividend tax clientele. Modigliani (1961)
argues that the clientele effect is responsible for the alterations in portfolio
composition. Masulis and Trueman (1988)'s pattern forecast that investors with
different tax liabilities will not be uniform in their ideal firm dividend policy. They
conclude that as a tax liability increases (decreases), the preference for dividend
payment also increases (decreases). Tax-adjusted model assumes that investors
maximize after-tax income. As far back, Farrar and Selwyn (1967) conclude that in a
partial equilibrium framework, individual investors choose the amount of personal
and corporate leverage and also whether to receive corporate reimbursements as
dividends or capital gain.
2.3.5. Liquidity
The liquidity is the extent to which an asset or a security can be purchased or sold in
the market without influencing the asset's price. Assets that can be easily sold or
bought are known as liquid assets. This also is the ability to convert an asset into cash
quickly also known as "marketability”. A weak liquidity position means less plentiful
dividend owing to shortage of cash. Ho (2003) finds that more liquid firms in Japan
have greater dividend payouts. Mehar (2002), notwithstanding, proposes there is an
inverse reaction between liquidity position and dividend imbursements from his
23
research of companies on the Karachi Stock Exchange in Pakistan as companies with
positive working capital will pay lower dividends. Myers and Bacon (2004)
emphasizes that corporations are probably to lessen dividends to spread liquidity. Yet,
several years later, Al-Najjar and Hussainey (2009) claim that paying lower or higher
dividends does not base on a good or bad liquidity position.
2.3.6. Firm size
Study by Lloyd, Jahera, and Page (1985), and Vogt (1994) suggest that firm size
acts a role in expressing the dividend-payout ratio of firms. They discover that larger
firms have a tendency to be more mature and hence get easier access to the capital
markets, which eliminates their reliance on internally generated funding and allows
for greater dividend-payout ratios. There is a fact that large firms will pay a
significant amount of dividends to reduce agency costs (Ghosh and Woolridge, 1988;
Eddy and Seifert, 1988). Eddy and Seifert (1988) also identify that large firms
distribute a greater amount of their net profits as cash dividends than do small firms.
Other studies also mention the positive association between dividends and firm size to
transaction costs. For example, Holder (1998) affirms that larger firms find it easier to
access to capital markets and find it easier to raise funds at lower costs, allowing them
to pay higher dividends to shareholders. This demonstrates a positive association
between dividend payouts and firm size. The positive relationship between dividend
payout policy and firm size is also by an increasing number of other studies (Eddy
and Seifert, 1988; Jensen et al., 1992)
2.3.7. Structure of asset
Myers et al.(1984) presumes that companies possessing the most tangible assets
tend to borrow more than those possessing the most intangible assets, thus they have
24
the capability to maintain less retained earnings and reimburse higher dividends
following to pecking order theory. So, a positive connection between the tangible
assets ratio and dividend payments is predicted. However, Aivazian’s (2003)
outcomes points that inverse linking between tangibility of assets and dividend policy
presents in listed companies in some emerging markets. The point of view of AlNajjar and Hussainey (2009) is indifferent in that they think that the much more
tangibility the much more dependence on retained earnings due to lower financing
from debts, then the lesser dividends are paid towards shareholders.
2.3.8. Sales Growth
Sales growth may impact dividend payout ratios. Higher growth companies
need greater requirement for external financing. Hence, to insure the access to
external equity capital, the company may be motivated to set up a good reputation
with stock holders through higher dividend payment (Laporta, R., F. Lopez-desilanes, A. Schiefer and R. Vishny, 1998). According to signaling theory, the high
growth companies are smoother to pay dividends to their shareholders.
Kania & Bacon (2005) research the affect of risk, liquidity, profitability, sales
growth, and expansion on the dividend policy of a corporation by examining the
financial data of over 10,000 publicly traded companies applying Ordinary Least
Squares (OLS), the research makes a conclusion that the dividend payout ratio is
significantly influenced by liquidity (current ratio), control (insider ownership), the
profitability (return on equity), growth (sales growth), risk (beta), and expansion
(growth in capital spending).
Chang and Rhee (1990) also emphasize that companies having more
opportunities for growth prefer retaining earnings to finance the development to
25
paying dividends, thus the more the growth opportunities, the lower the dividend
reimburse. Growth rate is measured as the growth rate of sales (Rozeff, 1982; Mohd
et al., 1995; Holder et al., 1998; Lloyd et al., 1985). Overall literature portrays a
positive as well as a negative relationship between sales growth and dividend payout
ratio.
2.3.9. Cash flow
Cash flow is the movement of money into or out of a project, financial product,
or business. It is usually calculated during a limited, specified period of time.
The cash flow position of a firm acts an important role in determinant of dividend
payouts. Alli (1993) argues that dividend payout ratio count more on cash flows,
which indicates the corporate ability to carry out dividend payments, than on current
profits, which are less strongly influenced by accounting practices. They claim that
current profits do not really reflect the firm's ability to pay dividends.
Lease (2000) indicates that companies with the higher cash flow are likely to
have higher dividend payment. Amidu & Abor (2006) research outcomes present that,
firms with high cash flow have the probability to pay high dividends to their
shareholders. Nonetheless, Baker (2006) explains that most firms nowadays practice
unmodified residual policy where the firms carefully manage their payout ratio and
dividend stream after investment decision is made. While the firms may consistently
have experienced low free cash flows, the dividend policy is not necessarily a
corporate goal.
2.3.10. Market – to – book value
26
Market-to-book value indicates the market point of view of the value of equity
in comparison with what shareholders have contributed to the firm since the day it
was established. Omran and Pointon (2004) point that market-to-book value is a
critical determinant that influence dividend payout ratio. Amidu & Abor (2006)
research the determinants of dividend payout policy in Ghana, clinicians analyze the
data in six years of listed companies on the stock exchange. Variables such as cash
flow, corporate tax, profitability, market to book value, and sales growth are used.
Results show positive reactions between dividend payout ratios and cash flow,
profitability and tax while the relationship is adverse with the market to book value
and growth. Gill, Biger, & Tibrewala (2010) indicate a positive relation between
market to book value ratio and dividend payout ratio in the manufacturing sector but
not in the service sector.
2.3.11. Ownership concentration
Jensen and Meckling (1976) support for the viewpoint that large owner have a
stronger incentive and more opportunities to monitor managers than small
shareholders. Therefore, in case those large shareholders are not insiders, to set
managers under their control and act on shareholders interest, they may force the firm
to pay high dividend. Claessens and Djankov (1999) claim that the high concentration
of owners reduce managers’ intentions to invest in low return project, hence more
cash flows can be pay-out as dividends. Kouki and Guizani (2009) show that Tunisian
firms having a high level of ownership concentration paying out more dividends.
Ramli (2010) with the evidence of Malaysian listed companies finds a positive
relationship between ownership concentration and dividend payment because
controlling shareholders have greater influence over the dividend payout policy.
27
On the other hand, there are many studies which have been conducted to define
this relationship and have the conclusion that the higher level of ownership
concentration, the lower the dividend pay-out ratio. Based on agency cost theory,
more concentration in ownership reduces agency conflicts. Hence, high dividend
payment for the purpose of controlling managers’ action is not necessary. In fact,
several studies suggest that firms with large concentrated ownership have low
dividend pay-out ratio. According to Shleifer and Vishny (1986), concentrated
ownership creates incentives for large shareholders to control the firm’s management
with the purpose of protecting their investment. Ownership concentration controls the
free-rider problem associated with ownership dispersion (dispersed ownership refers
to the large number of small shareholders who own less than 5% of a firm’s stock). In
addition, because large shareholders play an important role in the firm’s decision,
managers will also give them preferences. Farinha (2003), Chen (2005) show that
firms in US, UK and Hong Kong respectively, ownership concentration (especially
concentrated insider ownership) have the negative effect on dividend policy. When
interests of shareholders and managers are close, less dividend are paid out. The result
of research by Maury and Pajuste (2002), Gugler and Yutoglu (2003) show that firms
with the existence of high ownership concentration tend to pay lower dividends. Most
recently, Harada and Nguyen in their studies about "Ownership concentration and
dividend policy in Japan" in 2011 also show the negative effect of ownership
concentration on the dividend payment.
2.3.12. Return on Equity
The decision to make dividends payment starts with profits. Thus, it is logical to
recognize profitability as a beginning factor, and the degree of profitability as one of
28
the most critical determinants that might affect firms’ dividend decisions. Profitability
can be described as the ability of the firm to make a profit .The size of profit in a firm
has been a factor of dividend policy representing for years. Directors more frequently
do not suggest the payment for dividend when the firm has made remarkable profit
require such payments. Dividend policy has been strongly and directly affected by
profitability as among the major distinctions (Al-Kuwari, 2009). It is designed that
money-making companies most tend to pay a dividend in comparisons with nonprofitable companies (Eriostis and Vasiliou, 2003; Ahmed and Javid, 2009).
Accordingly, Pruitt and Gitman (1991) make to a close those current and previous
years’ profits, the year-to-year and past years’ dividend are important determinants
that impact dividend policy. The fraction dividend payout relies on the current
earnings of the firm. They explain that, the higher the earnings, the more dividends
will be made payment to the investors. They are speedy to compromise that
profitability is supported by signaling theory as the company wants to push the
standing of its performance. Nonetheless, Al- Kuwari (1998) remarks that executives
arrange to pay a smaller amount of dividends now to handle with the changes in the
future when a firm expects less cash flow in the future. In addition, Kowalewski
(2007) notes that when a company has less investment opportunities it pays higher
dividend from the earning profit. In his traditional research, Lintner (1956) points out
that a company’s net earnings are the important factors of dividend changes.
Accordingly, Al-Malkawi (2007) comes to the conclusion that profitability is a
remarkable factor of the degree of dividends paid by firms. Reddy (2006) states that
the dividends paid by companies are more profitable. Amidu and Abor (2006) support
to the presence theories that decision for dividend payout of listed companies in
Ghana is influenced by return on equity. They examine the relationship between the
29
number of company selected determinants and the dividend payout in Ghana. The
sample includes of companies that have been listed on Ghana stock exchange during
1998-2003 and even though the sample just consists of 20 companies, they represent
76 percent of all listed firms in Ghana during the time period. And they give a
positive reaction between the companies’ dividend payout ratios and profitability and
cash flow.
2.4. Model for research
According to these above previous researches we define dividend payout ratio
as a function of financial leverage ,market-to-book value ratio, cash flow, liquidity,
firm size, ownership concentration, sales growth, return on equity, corporate tax, risk,
structure of asset, and investment.
Based on the above definitions and researches, we obtained the following
equations to analyze:
div = β0 + β1finlev + β2invest + β3risk + β4tax + β5liq + β6lnsales + β7str + β8gro
+ β9cf + β10own + β11ROE + β12mtbv + ε
Where, div, finlev, invest, risk, tax, liq, lnsales, str, gro, cf, own, ROE , and
mtbv stand for dividend payout ratio, financial leverage, investment, business risk,
corporate tax, liquidity, firm size, structure of ssset, sales growth, cash flow,
ownership concentration, return on equity, and market-to-book value respectively.
Name
Abb
Formula
Dividend payout ratio
DIV
Dividend paid/Net income
Financial leverage
FINLEV
Total liabilities/Total assets
30
(Current total asset – Previous total
asset)/Previous total asset
Standard deviation [Earnings before
extraordinary items/ Total assets]
Investment
INVEST
Risk
RISK
Corporate tax
TAX
Liquidity
LIQ
Firm size
LNSALES
Natural log of sales
Structure of asset
STR
Fixed asset/Market value of equity
Sales growth
GRO
Cash flow
CF
Market-to-book value
MTBV
Ownership
concentration
Return on equity
OWN
ROE
Corporate income tax/EBT
(Current asset – Current liability)/Current
liability
(Current sale – Previous sale)/Previous
sale
Cash flow form operation/ Total asset
[(Shares
outstanding*Share
closing
price)+Book value of total liabilities/Total
book value of assets]
Percentage of majority shareholders’
holdings of equity stock
EBIT/ Market value of equity
2.5 Hypotheses
Based on the theories and previous researches discussed in chapter two, the list
below is the hypothesis for the research paper:
H1: There is a positive correlation between financial leverage factor and
dividend payout ratio.
H2: There is a negative correlation between investment factor and dividend
payout ratio.
H3: There is a negative correlation between business risk factor and dividend
payout ratio.
H4: There is a negative correlation between corporate income tax factor and
dividend payout ratio.
31
H5: There is a positive correlation between liquidity factor and dividend
payout ratio.
H6: There is a positive correlation between structure of asset factor and
dividend payout ratio.
H7: There is a positive correlation between sales growth factor and dividend
payout ratio.
H8: There is a positive correlation between cash flow factor and dividend
payout ratio.
H9: There is a negative correlation between market-to-book value factor and
dividend payout ratio.
H10: There is a positive correlation between ownership concentration factor
and dividend payout ratio.
H11: There is a negative correlation between firm size factor and dividend
payout ratio.
H12: There is a positive correlation between return on equity factor and
dividend payout ratio.
32
Chapter Three – Research Methodology
This chapter concentrates on the details of the study undertaken to address
the questions posed in chapter one. It defines the processes of building up the
study conducted on the basis companies rating system, selecting the
literature review, the data collection process including the tools and
methodologies used in finally, data analysis and conclusion.
3.1. Problem statement
Dividend policy has recently been seen as one of the major decisions of the
company's financial management; which affects both the value of shares and the value
of the business. In emerging market countries like Vietnam, due to asymmetric
information, investors often rely on the dividend as a signal for the company's
prospects for the future. Therefore, the dividend policy strategy is the important
decision of the management.
Established in July 2000, Vietnam stock market is typical emerging capital
market that some characteristics can affect the dividend policy of the enterprise:
asymmetric information, agency costs presence, emotional behavior of retail
investors. In addition to emerging markets, the provision of the law does not complete
due to the risk of policy changes, which may also affects dividend policy, such as
changes in tax rules may change decisions payment of business.
Listed companies in Vietnam stock market do not have much experience in
managing finance status such as reinvestment or paying dividend, and investors have
less acquirement in assessing the value of dividend. For instance, the company paying
high dividends often means that the investors infer good prospects and vice versa. In
33
fact, a number of institutional investors favor companies with stable dividend policy
to create a stable cash flow, and they are willing to pay a higher price for the shares it
holds. This is what businesses need to be aware and should also aim to study the
structure of shareholders to be able to establish a consistent dividend policy.
However, the "process stability" can also lead to missed business opportunities good
investment, which can increase the market price of the company in the future. In case
if companies do not want to miss the opportunity, businesses will have to borrow,
which means increasing financial risk, control issues change after a period of stable
operation is not easy.
Therefore, research needs to explore determinants affecting in dividend policy,
particularly Vietnam market only. Although there are many researches on this topic,
only just few of them can be applied for Vietnam due to different situations, for
example, different cultures lead to “not-the-same” psychological behavior of investors
which can be heavy-weighted components affecting dividend policy. The research
will use quantitative test to come to the equation of determinants which are explored
by qualitative method before.
3.2. Research objective
The major target of this paper research is to reach the analysis and evaluation of
the dividend payout ratio of listed companies on the HoChiMinh City stock market,
which can be representative for Vietnam stock market.
3.3. Data
Data for 5 years (2008-2012) was taken for 301 different companies listed in
HOSE. The reason why I limit research only on the dividend policy of listed
34
companies on the HochiMinhCity stock market – HOSE - is that only these
companies have transparent information of financial reports as well as dividend policy
in asymmetric information market such as Vietnam today. Moreover, we can see that
the listed companies are represented for the firms being aware of the importance and
impact of dividend policy on the value of the business. The criteria for selection are
the companies which match all for mutual five years for which data are obtained.
The dividend paid each year constitutes cash dividends and capitalization in
investors’ equity holdings. Dividends paid in cash and the dividends capitalized to
shareholders equity are both taken as “dividends” as shareholders’ return is
maximized with both ways. This is relied on the assumption that stakeholders can get
the equivalent of the capitalized dividend in cash if they choose so. The weighted
average number of shares outstanding during the year is taken to calculate Earnings
Per Share (EPS) and dividends per share. It is important to take the average of the
number of outstanding shares as this figure during a year varies day by day. The
dividend per share, as well as Earnings per Share (EPS) figures are stated relative to
par values of the respective companies for the reason the companies set varied par
values for their stocks. The clearing share prices are obtained from the registry of
buy/sell transactions of investors. Interviews are conducted to get the average clearing
prices all over each year. For those stocks, the ownership transfer among investors is
infrequent, the share premium (as set by management or the general meeting of
shareholders) does addition to the par value to reach the potential clearing price (the
price at which the shares were sold to new investors).
35
3.4. Research method
Research design is the road map for researchers and it is a master plan
specifying the approaches and procedures for collecting and evaluating information
needed. (Zikmund, 1997, p.48). Based on observation, analysis and synthesis are
keys. Based on the understanding of dividend policy theories and analysis, assessment
of financial data and information on HoChiMinhCity stock market is built. The
research paper is an experimental research. Experimental research methods are a class
of research methods in which experimental observations or data are gathered so as to
answer particular research questions. According to Singleton and Straits (1999),
different research problems have different approaches. However, the two main
approaches are qualitative approach and quantitative approach. Qualitative methods
seem to be more applicable in the early stages of research and for theory building.
Whereas, quantitative methods tend to be more appropriate when theory is well
prepared and selected, for purpose of theory testing and analyzing. In reality, no
research method is totally qualitative or quantitative (Yin, 1994).
The research follows the quantitative approach. Data are not collected from
directly respondent, instead published reports from HOSE are utilized. Data from year
2008 to 2012 are taken from this report. This follows the secondary data approach
Secondary data:
In addition to the methods and types discussed above, data collected in this
study refer to secondary data. Data collected here is through financial reports. It cuts
down the concern placed on respondents by contradicting the need to recruit further
subjects and that it permits broad use of data from limited or unattainable respondents.
36
Furthermore, it has suggested that secondary analysis is more convenient approach for
this research.
3.5. Data analysis procedure
The financial reports are used to examine and compare variables of interest
(dividend, financial leverage, and investment) among companies. The effect of the
exogenous variable - market conditions is presumed to shake all studied companies in
somewhat parallel manner. The confounding variable, which distorts the results if it
had not been controlled, is the asymmetric information.
3.6. Data analysis types and method
Simultaneity means that for instance in a natural structural macroeconomic
model we clarify expenditure with income but income is also described by variables
and not exogenous anymore. In this research, the method of multiple linear analyses is
used to test the hypothesis. The following steps are an outline of the main elements of
multiple regression analysis
1. Multiple regression analysis constructs on univariate and bivariate analysis, it
is best to examine the data and the dissemination of the reaction and explanatory
variables before attempting into multivariate analysis. This is then reflected by
descriptive statistics and bivariate test in which the connections between the feedback
and each particular explanatory variable are further analyzed. Once this information
has been assembled, the relationship between some explanatory variables and the
dependent variable may be further examined. Multiple regression will present the
independent contribution of each explanatory variable to the forecast of the result
while controlling for the domination influence of the other dependent variables.
37
2. Multiple linear regression draws a direct overview of the simple linear
regression. The main dissimilarity in multiple regressions is the value of the
dependent variable relies on some set independent variables instead of one.
3. In addition to, characterizing the relationship between the exploratory and
dependent variables, multiple regression could be used to criticize the relative
importance of different independent variables. This is done by measuring their
relative t-ratios.
4. Categorical variables may be consisted in the regression equation by denoting
them Yes/No values as 1/0. This is a strong point because one can look at attainable
variations in the outcome in existence or absence of a categorical variable. If to be
needed, a new categorical variable may be formed to serve as a numerical variable.
For instance, a variable like age can be divided into two categories as young/old. Such
variables are often mentioned to as dummy variables. The ability to merge continuous
and dummy variables is one of the main benefits of multiple regression analysis in
dealing with biomedical data.
As with all statistical methods, multiple linear regression analysis bases on
fundamental assumptions about the population from where the data have been
acquired. The results of the analysis are only trustworthy, when these assumptions
below are satisfied:
a. The relationship between the independent variables and the dependent
variable is linear. In another way, each increase by one unit in an
independent variable is connected with a fixed increase in the dependent
variable.
38
b. The regression equation explains the mean value of the outcome variable for
a set of exploratory variables.
c. The individual data points of Y (the outcome variable) for each of the
independent variables are normally distributed about the line of regression.
d. The variance points the regression line is alike for every explanatory
variable.
e. The independent variables are exploratory of each other, that is, knowing the
value of one or more of the exploratory variables do not express anything
about the others. This is often not the circumstance in real life because many
variables are correlated. These correlations can lead to mistaken
consequences.
3.7. Sample collection and data analysis
In this chapter, the researcher outlines the research approach, including
collection of data for quantitative analysis. This approach is used to generate new
knowledge, new hypothesizes, or support for existing theories. The secondary
analysis enables access to live data and the perspectives of specialists in the
industries.
39
Chapter Four - Data Analysis
In this section, the outcomes of the data analysis answering the research
objective are presented. The purpose of this chapter is to present research
results analyzing and checking the research framework in order to answer the
main research objective “Based on the research model, examining the factors
that determine the dividend payout ratio in HOSE’s market”.
4.1. Sample descriptive:
As being planned in chapter three, the data to be collected are about from 301 listed
companies on HOSE. However, there are some missing data because the companies’
listing points of time are different. For instance, the PTK code is listed in 2010 which
makes us lack of data before listing point time. But our data are set under panel type; the
problem of unbalanced data is acceptable. A summary of descriptive statistics is
presented in table 4.1 Descriptive Statistics.
The descriptive part in this research can’t draw an overall picture about the data
because the data are calculated based on the real figures, in which variables don’t have a
standard to have the comparisons. So, we couldn’t make the comparisons between
variables just based on this descriptive table.
This table shows the average indexes of variables computed from the 301 listed
companies on HOSE. The average (mean) dividend payout ratio (calculated by dividend
paid/net income) is .1048. This means, on the average, these 301 companies pay about 11
percent of their profit as dividend.
40
Table 4.1 Descriptive Statistic from 2008 to 2012
Variable
Obs
Mean
Std. Dev
Min
Max
div
cf
mtbv
own
finlev
liq
str
gro
invest
tax
ROE
lnsales
risk
1505
1505
1505
1505
1505
1504
1505
1500
1505
1505
1505
1505
1505
.1047748
.0407492
.8374722
44.61432
.4944507
1.566272
1.170243
.7923068
.7454818
.2434899
.1658753
13.08715
.0128186
.2989449
.1632981
.4393143
25.92744
.2252662
6.19228
1.746763
8.912381
13.18305
.1963395
.6580403
2.040132
.0776612
-.61659
-1.33499
0
0
0
-.88664
0
-.98349
-.6742211
-1.47536
-23.82661
0
-.7207
9.20525
1.18926
3.67161
100.01
.96436
157.9839
20.23692
228.7249
406.412
1.79302
3.43278
18.03944
.72214
Source: Table extracted from Stata software
Receiving dividends from stock you own is great, but you want to make sure the
company can afford to keep them coming. Companies pay dividends from their earnings,
or profits. The dividend payout ratio measures the percentage of profits a company pays
as dividends. A problem with the dividend payout ratio is that it might indicate that a
company pays negative dividends since the denominator (net income) may be negative.
When a company generates negative earnings, or a net loss, and still pays a dividend, it
has a negative payout ratio. A negative payout ratio indicates that a company paid
dividend even though it recorded a loss. A negative payout ratio of any size is typically a
bad sign. It means the company had to use existing cash or raise additional money to pay
the dividend. The value of this variable spreads from -0.6167 to 9.2053, the negative
value denotes that even in a certain year the company gets lost from operation, it still
pays dividend for investors. For instance, for a particular reason the company earns no
profit in one year, it should make the investors feel at ease by paying dividend (even it’s
41
just a small amount). Al- Kuwari (2007) remarks that executives handle to pay smaller
amount of dividends now to bear with the surprised changes in the future when a firm
expects less cash flow at that time. Moreover, Kowalewski (2007) also marks that at
whatever time a firm with less investment opportunities will pay greater dividend from
the profit made. The company will keep amount of dividend in remarkable earning profit
year to save for the bad performance year.
The mean of cash flow variable is .0407 which tells that almost operating cash flow
from companies comprise only 4% on total assets. This index is quite low, which shows
that companies operate less effective in this period. With the market-to-book value of
.8375, it shows the valuation of companies in comparison between market value and
book value is not much different. The percentage of majority shareholders of listed
company is 44.6%, these companies seem to have the focusing shareholdings. The
financial leverage is to measure its ability to meet financial obligations; in this research,
total liabilities take into account of nearly 50% of total assets. The liquidity ratio shows
us the ability to convert an asset to cash quickly; in this case, this index of 1.566 is
calculated based on current asset and current liability. Structure of asset 1.17 which
means the assets are invested 1.17times more than company’s equity. The speed of sale
growth is 79% on average, this index is quite good in the period of crisis economy from
2008 to 2012. Together with the sale growth, the investment on asset increases 74.5%;
the minimum of this index is negative is because some companies reduce the value of
asset comparatively with previous year. The tax rate is 24.34% which is the same with
corporate income tax rate of Vietnam in this period. We can also find the negative tax
index, it is because the company has to pay tax although it is loss. It is normal, for
42
instance, the total operating profit in a certain year of company is negative, but in this
year, the company carries out the transfer land use right, the company still has to pay
income tax from the profit for this transaction. The amount of net income returned as
percentage of shareholders equity is 16.59%. The table shows the average firm has a size
of 13.09 as measured by logarithm of its sales.
4.2. Panel data models
4.2.1. Fixed effect – Hausman test:
Panel data may be group effects, time effects, or both. These effects are either fixed
effect or random effect. A fixed effect model assumes differences in intercepts across
groups or time periods, whereas a random effect model explores differences in error
variances. (UITS Research Technology).
In this research, we will analyze the impacts of independent variables on the
dividend payout ratio that varies over time. Therefore, fixed effect is an appropriate
choice. However, Hausman test will be used to test for sure.
Fixed effect explores the relationship between predictor variables of year and
outcome variables within an entity (company). Each entity has its own individual
distinction that may or may not affect the predictor variables. The “time” could influence
the dividend payout ratio of each company, for instance, due to the crisis economy in
2008, companies tend to carefully finance the operations which lead to the amount of
paying dividend.
43
To decide between a random effects and fixed effects model, researchers often rely
on the Hausman (1978) specification test (e.g., Greene 2008, 208-209). The Hausman test
is designed to detect violation of the random effects modeling assumption that the
explanatory variables are orthogonal to the unit effects.
Under the null hypothesis of orthogonality, H is distributed chi-square with degrees
of freedom equal to the number of regressors in the model. A finding that p < 0.05 is
taken as evidence that, at conventional levels of significance, the two models are different
enough to reject the null hypothesis, and hence to reject the random effects model in
favor of the fixed effects model (Clark & Linzer, 2012)
To serve Hausman test purpose, we need to analyze the collected data by fixed
effect method and random effect method:
Table 4.2 Hausman test result
(B)
(b – B) Sqrt (diag (V_b-V_B))
random
Difference
S.E.
risk
-.0914571
.2560103
.1588243
cf
.0460307
.0930144
.067468
mtbv
.055034
-.0047701
.0258131
own
-.0001974
.0001188
.000675
finlev
.1207972
.3124443
.1949434
liq
.0037191
.0087102
.0078023
str
-.0147471
.029232
.0285367
gro
-.0006547
.0010724
.0019434
invest
-.0209544
-.0055156
.0232545
tax
-.319997
-.0709859
.1394903
ROE
1.013069
.5432001
.105988
lnsales
.001446
-.0271077
.0129637
b = consistent under Ho and Ha; obtained from xtreg
B = inconsistent under Ha, efficient under Ho; obtained from xtreg
Test: Ho: difference in coefficients not systematic
chi2(12) = (b-B)'[(V_b-V_B)^(-1)](b-B)
(b)
Fixed
.1645533
.1390451
.0502639
-.0000786
.4332415
.0124293
.0144849
.0004177
-.02647
-.3909829
1.556269
-.0256616
44
=
Prob>chi2 =
35.15
0.0004
Source: Table extracted from Stata software
Based on the Hausman test, we come to the conclusion that fixed effect medoling
will used in this study.
4.2.2. Checking correlation
Correlation is a statistical method that can point out whether and how closely pairs
of variables are related. Even though this correlation is fairly clear, the data may consist
of undoubtful correlations, you may also distrust there are correlations, but don't know
which is the most closest. A knowledgeable correlation analysis can lead to a better
understanding of the data. The primary outcome of a correlation is called the correlation
coefficient (or "r"). It covers from -1.0 to +1.0. If r is near to 0, it means it exists no
relationship between the variables. The closer r is to +1 or -1, the more strongly the two
variables are related. If r is negative it means that as one becomes larger, the other
reaches smaller (often called an "inverse" correlation). If r is positive, it shows that as one
variable becomes larger the other reaches larger.
According to Pearson correlation, if the value of r is higher than +.7 or lower than .7, it shows a very strong relationship. If the correlations between independent variables
are too high which means the correlation “r” is higher than +.7 or lower than -.7, it could
cause multi-collinearity problem which needs to be excluded in the multiple linear
regression. This can produce problem in interpreting the coefficients of variables as
several are providing duplicate information.
45
Table 4.3 shows the correlation amongst predictors. No correlation has absolute
value larger than 0.7 suggesting that multi-collinearity is not a major problem, no
variable is omitted due to suspected of multi-collinearity. However, since the data is
analyzed from the actual financial statements, it can’t avoid the problem of imperfection.
Hence, all of variables are qualified for analyzing in the next step. Although some index
is quite high which nearly reaches the milestone of 0.7, these high one are almost
unreliable (not denoted by star). And the data in this research is calculated based on real
numbers, not like the standard number in questionnaire research type, results in table 4.3
is acceptable. Furthermore, to make sure for the correlation between independent
variables, we process the test of VIF later.
46
Table 4.3 Correlation matrix
div
risk
cf
mtbv
own
finlev
liq
str
gro
invest
tax
ROE
lnsales
div****
1.0000*
-0.0485*
-0.0148*
0.0438*
-0.0142*
0.0066*
-0.0148*
-0.0281*
-0.0124*
-0.0072*
-0.0359*
0.0475*
0.0568*
risk****
1.0000*
0.0693*
0.1592*
0.0313*
-0.0671*
0.0096*
-0.0436*
0.0539*
0.0233*
0.5100*
0.0309*
0.0535*
cf****
1.0000*
0.1994*
0.0430*
-0.1718*
-0.1309*
0.0145*
-0.0266*
-0.0760*
0.0993*
-0.0074*
0.1219*
mtbv***
1.0000*
0.1935*
-0.0187*
0.0292*
0.0335*
-0.0226*
-0.0115*
0.2087*
0.0252*
0.3002*
own***
1.0000*
0.0996*
-0.0034*
0.1188*
-0.0275*
-0.0320*
0.1033*
-0.0093*
0.2155*
finlev***
1.0000*
-0.2905*
0.4259*
-0.0449*
-0.0123*
0.2649*
0.0434*
0.4006*
liq*****
1.0000*
-0.0917*
0.0172*
0.0083*
-0.1103*
0.0037*
-0.2382*
str****
1.0000
-0.0139
0.0068
0.0266
0.0321
0.2022
Source: Table extracted from Stata software
gro***
1.0000*
0.1164*
-0.0245*
0.0089*
-0.0337*
invest*
1.0000*
-0.0301*
-0.0009*
-0.0745*
tax****
1.0000*
0.0205*
0.3108*
ROE***
1.0000
0.0276
lnsales**
1.0000
46
4.2.3. Pooled Ordinary Least Square analysis
The Ordinary least square (OLS) is applied to draw a general overview for the
research model. This is a pooled regression model as we pool all the observations in OLS
regression. The model is implicitly presuming that the coefficients (including the
intercepts) are alike for all of the individuals. In other words, this step is analyzed
according to cross-sectional type data.
Since there is no variable rejected in the correlation testing step, all of factors are
keeping for OLS. Table 4.4 presents the results of the OLS regression analysis being
conducted in this study. The model regresses the dividend payout ratio (the dependent
variable) on the business risk (risk), cash flow (cf), market-to-book-value (mtbv),
ownership concentration (own), financial leverage (finlev), liquidity (liq), structure of
assets (str), sales growth (gro), investment (invest), corporate income tax (tax), return on
equity (ROE) and firm size (lnsales) , which are independent variables.
The pooled model qualified the data well at the significance level (F = 10.79, p <
0.00). The value for R-squared in table 4.4 shows that 12.27 percent of the total
systematic variations in dividend payout ratio can be explained by the variations in
dependent variables. This points out that about 87.73 percent of the systematic variations
in dividend payout can be accounted for by others factors outside the model.
According to the result from the table below, five independent variables which
have the significant correlation with the depended variable ; they are : market-to-book
value, financial leverage, structure of asset, corporate income tax, and return on equity.
Amongst significant relationship variables, return on equity has the most impact on the
47
dividend payout ratio with the coefficient index is around 1.Structure of asset and
corporate income have the reverse influence on dividend, which means the increasing in
the amount of two variables makes the amount in dividend decrease, and vice versa. In
contrast with that, market-to-book value, financial leverage, and return on equity impact
similarly on dividend payout ratio.
Table 4.4 OLS regression result
Source
SS
Df
MS
Model 14.2207049
12 1.18505874
Residual 101.677929
926 .109803379
Total 115.898634
div
Coef.
risk
-.0914571
cf
.0460307
mtbv
.055034
own
-.0001974
finlev
.1207972
liq
.0037191
str
-.0147471
gro
-.0006547
invest
-.0209544
tax
-.319997
ROE
1.013069
lnsales
.001446
_cons
-.0567861
938 .123559311
Std. Err.
t
.1913705
-0.48
.077334
0.59
.0270115
2.04
.0004649
-0.42
.0766421
1.58
.0063355
0.59
.006579
-2.24
.0010949
-0.60
.0238922
-0.88
.0870585
-3.68
.1038904
9.75
.0064282
0.22
.0740258
-0.77
Number of obs =
F(12,926)
=
Prob > F
=
R-squared
=
Adj R-squared =
Root MSE
=
P>|t| [95% Conf.
0.633
-.4670273
0.554
-.1065233
0.042
.0020232
0.671
-.0011099
0.015
-.0296151
0.557
-.0087146
0.025
-.0276586
0.550
-.0028035
0.381
-.0678436
0.000
-.4908518
0.000
.8091809
0.822
-.0111694
0.443
-.202064
939
10.79
0.0000
0.1227
0.1113
.33137
Interval]
.2841131
.1985847
.1080448
.000715
.2712095
.0161527
-.0018356
.0014941
.0259347
-.1491422
1.216957
.0140615
.0884917
Source: Table extracted from Stata software
4.2.4. Testing multi-collinearity
Multi-collinearity is a widespread obstacle in regression analysis. It is common that
we need to routinely examine in each model we analyze, as its existence will generate
results that guide us to make erroneous conclusions with our hypothesis tests.
48
Multi-collinearity is a concern for multiple regressions, not for its existence, but for
its degree. For severe degree of multi-collinearity, the regression model measures of the
coefficients become changeable and the standard errors for the coefficients can get
uncontrollably inflated.
Formally, variance inflation factors (VIF) measures how much the variance of the
estimated coefficients is raised up over the case of no correlation among the X variables.
If there is no-correlation between two X variables, then all the VIFs will be 1. Variance
inflation factor (VIF) is just the complementary of a tolerance value; hence low
tolerances correspond to high VIF. Freund and Littell (2000) states that VIF show how
multi-collinearity has boosted the instability of the coefficient estimates. In another way,
VIF lets us know how "inflated" the variance of the coefficient is, in contrast with what it
could be unless the variable is correlated with any other variable in the pattern (Allison,
1999).
Table 4.5 VIF result
Variable
VIF
1/VIF
finlev
2.50
0.399671
tax
1.75
0.571894
lnsales
1.47
0.681422
risk
1.46
0.683964
liq
1.45
0.689318
invest
1.33
0.752342
str
1.33
0.753203
cf
1.26
0.794458
gro
1.23
0.812044
mtbv
1.20
0.831315
own
1.10
0.909068
ROE
1.07
0.938347
Mean VIF
1.43
Source: Table extracted from Stata software
49
The VIF test tells us more about the multi-collinearity problem. If any variable
exists the VIF figure of over 10, it proves there is problem of multi-collinearity in the
research. In this study, the VIFs for all factors are qualified.. In table 4.4, none of
predictor is suspected of causing multi-collinearity since their tolerance values are
smaller than 1 or VIFs are larger than 10. Note that the 1/VIF is nothing other than the
tolerance value.
4.2.5. Linear regression with large dummy variables set
In the previous part, pooled OLS measure is still densely biased because of
inaccessible heterogeneity. This is because of the fact that pooled OLS also bases on a
between comparison. In comparative with the cross-sectional, OLS the bias is lower,
nonetheless, because pooled OLS also takes concern of the within variation. Hence, panel
data alone does not solve the problem of inaccessible heterogeneity.
The collected data are set under panel type which contains observations of multiple
phenomena acquired over multiple time periods for the same units or individuals. To
promote the strength of panel data, we’ll continue analyzing linear regression with large
dummy variables set.
Multiple linear regression analysis allows the researcher to shape a data set for
forecasting an outcome variable from one or more predictor variables. The model is
symbolized by the regression equation, which is rigorously valid only within a range of
data acquired. Trying to predict the result outside the range of the data can be intensely
misleading, and is not well-considered.
50
When several independent variables are accountable for a dependent, each subject
contributes a unique combination of these variables. A new subject on which an
investigators wishes to predictably draw the outcome has also his own unique mixture of
variables. The calculations may or may not fall within the range of the authentic study. It
is as a result that prediction on the explanation of a given model can only be a guide and
is not infallible. OLS is the commonly method for analyzing in economic research,
however, because there are numbers of firms who don’t pay dividend (dividend payout
ratio equals 0), OLS may be biased.
Table 4.6 Linear regression with large dummy variables set result
Linear regression, absorbing indicators
div
risk
cf
mtbv
own
finlev
liq
str
gro
invest
tax
ROE
lnsales
_cons
company
Coef.
Std. Err.
.1645533
.2459106
.1390451
.1017779
.0502639
.0369443
-.0000786
.0008105
.4332415
.2071253
.0124293
.0099382
.0144849
.0289577
.0004177
.0022057
-.02647
.0329679
-.3909829
.1625894
1.556269
.1467538
-.0256616
.0143081
.023404
.1606279
F (275 , 651) =
T
0.67
1.37
1.36
-.010
2.09
1.25
0.50
0.19
-0.80
-2.40
10.60
-1.79
0.15
1.077
Number of obs =
939
F(12,651)
=
10.88
Prob > F
=
0.0000
R-squared
=
0.3970
Adj R-squared =
0.1311
Root MSE
=
. 32766
P>|t| [95% Conf.
Interval]
0.504
-.3183205
.647427
0.172
-.0608074
.3388977
0.174
-.0222805
.1228084
0.923
-.0016701
.0015128
0.037
.0265272
.8399058
0.212
-.0070856
.0319441
0.617
-.0423769
.0713466
0.850
-.0039134
.0047488
0.422
-.0912062
.0382662
0.016
-.7102458
-.0717201
0.000
1.268101
1.844437
0.073
-.0537572
.0024339
0.884
-.2920074
.3388153
0.229
(276 categories)
Source: Table extracted from Stata software
51
As discussion above, fixed effect is used to analyze linear regression in this paper.
The result of this step is showed in Table 4.6 above. The dummy variables in this case are
the period time 2008, 2009, 2010, 2011, 2012.
The significant level shows the second model fits the data better (F = 10.88, p <
0.00). Going by the value of R-squared of 0.3979, it shows that 39.8 percent of the total
systematic variations in dividend payout ratio can be explained by the variations in
dependent variables. Simultaneously, it means that about 60.2 percent of the systematic
variations in dividend payout can be accounted for by others factors outside the model.
This test comes to the conclusion that there are only three exploratory variables
which have the significant influence on our dependent variable. The result in this model
is a little bit different from the previous model. Five factors are proven in OLS test to
have significant relationship with dividend payout ratio. Meanwhile this step continues
deleting two more variables. This analysis tells us that it can explain the characteristic of
dependent variable based on four significant variables up to 39.8 percent, which is higher
than OLS analysis a lot. Therefore, we can conclude that with the collected data as type
of panel data, the result pointed out from linear regression with large dummy variables
set is more significant than the simple cross-sectional regression.
4.2.6. Linear regression with lagged dependent variable
If it exists autocorrelation in the model, it is necessary to solve it. There might be
panel specific autocorrelation or there might be common autocorrelation across all
panels. There are supplies for identifying the type of autocorrelation. An autoregression
52
on lags of the residuals, alternatively, may indicate the existence or omission of
autocorrelation and the need for dynamic panel analysis.
If there is autocorrelation from one momentary period to another, it is possible to
examine the “differences in differences” of these observations, applying the first or last as
a foundation (Wooldridge, 2002). Blundell, Bond and Windmeijer (2000) recommend
lagged dependent variables into their model to make narrative for dynamic effects. The
lagged dependent variables can be announced to either fixed or random effects models.
Their admittance assumes that the number of material consideration is greater than
the number of repressors in the model. If autocorrelation consists across these
observations, the model might be first partial differenced to manage for the
autocorrelation effects on the residuals (Greene, 2002).
Even if one presumes no autocorrelation, obstacles from the correlation of the
lagged endogenous and the disruption term may bother the analysis. Especially, bias can
result when the sample is finite or small. If one consumes general methods of moments,
with instrumental variables, the usage of the proxy variables or instruments may prevent
problems with correlations of errors. Besides, there are a large number of instruments
implemented by lagged variables. Assume your dependent variable is expenditure. If
expenditure today has an effect on the expenditure in future time points, then there will
be correlation in the discovered values of expenditure consumption (called
autocorrelation). To diminish this auto correlation, the lagged values can be fitted to the
model.
53
For dynamic panels, with lagged dependent variables, with greater numbers of
occasional conditions, they are able to conduct some missing data and they can
accomplish gains in effectiveness as long as there are three or four periods of data
(Greene, 2002).
Let imagine that if you are an investor, each year your receive, let say, 20%
dividend payment, in one year you only receive 5% dividend payout only, you would
make a question and feel anxious about the performance of the company, even though it
was due to crisis economic. Or in certain year, you receive a remarkable big amount of
dividend than previous year, and received a small amount the next year, it makes you feel
something wrong about the fluctuation about the company’s performance. Therefore,
linear regression with lagged dependent variable is necessary to analyze to find out more,
since the dividend payment in the past can influence on the current dividend payment.
And the analysis with additional variable of lagged dividend payout ratio will let us a
deep view on the picture of dividend payout ratio of companies in emerging market like
Vietnam.
Table 4.7 Linear regression with lagged dependent variable
Linear regression, absorbing indicators
div
div
L1.
risk
cf
mtbv
Coef.
Std. Err.
t
-.0363538
.4284491
.2010712
.0456325
.1044983
.3310115
.1400582
.0525864
-0.35
1.29
1.44
0.87
Number of obs =
F(13,479)
=
Prob > F
=
R-squared
=
Adj R-squared =
Root MSE
=
P>|t| [95% Conf.
0.728
0.196
0.152
0.386
-.2416855
-.221965
-.0741333
-.057696
761
9.86
0.0000
0.4320
0.0988
. 36271
Interval]
.1689779
1.078863
.4762756
.1489611
54
own
finlev
liq
str
gro
invest
tax
ROE
lnsales
_cons
company
-.0002736
.0013776
.8454406
.2899535
.0160338
.0130276
.0191707
.0357782
.000991
.0025772
-.0199208
.0417216
-.6401966
.2567477
1.972619
.1936898
-.0139583
.0545511
-.3489179
.7321752
F (268 , 479) =
-0.20
2.92
1.23
0.54
0.38
-0.48
-2.49
10.18
-0.26
-0.48
0.893
0.843
0.004
0.219
0.592
0.701
0.633
0.013
0.000
0.798
0.634
0.849
-.0029805
.0024333
.2757026
1.415179
-.0095645
.041632
-.0511309
.0894724
-.004073
.006055
-.1019008
.0620591
-1.144688
-.1357056
1.592033
2.353206
-.1211474
.0932308
-1.78759
1.089754
(269 categories)
Source: Table extracted from Stata software
Table 4.7 shows that F-statistic is significant ( F = 9.86, p< 0.05) at 95 percent
confidence interval suggesting the model is useful to determine the variation in the
criterion dividend payout. With R-squared index of 0.4320, this analysis shows that 43.2
percent of the total systematic variations in dividend payout ratio can be explained by the
variations in dependent variables. Simultaneously, it means that about 56.8 percent of the
systematic variations in dividend payout can be accounted for by others factors outside
the model.
4.3. Discussion:
The three analysis steps above fit the data well with the significant level below .05.
The OLS method ignores time difference so it reports misleading the intercept. Linear
regression with large dummy variable set considering the fixed group effect seems to be
better than the simple OLS. The last step seems explain the almost characteristic for the
collected data.
55
To sum up, among twelve tested variables, there are three variables which
significant affects dividend policy of firms listed on the HOSE in the sample. They are
financial leverage, return on equity, and corporate income tax; and based on the result
above, return on equity is suggested to be the most important predictors to anticipate
dividend payout pattern.
Table 4.8 Result Comparison
Items
OLS
L/R w. large
L/R w. lagged
dummy variable set
dividend
Intercept
-.0568
.0234
-.3489
p-value of F-test
.0000
.0000
.0000
R2
.1227
.3970
.4320
SEE (square root of MSE)
.3314
.3277
.3627
Source: Author’s regression result comparison
All of three models in this research point the significant reliable when all of index
for model is in the threshold. The OLS step only allows us to keep five predictor
variables for the study. However, the R-squared index is quite low with only 12.85
percent, and as explained in previous part, the result of OLS is biased and inconsistent.
For this reason, the outcome in this step can only be seen as a reference for an overview
about the data purpose. The rest two analysis steps are proved by other researchers to be
enable to exploit all aspects of panel data type; and the R-squared indexes help us better
56
understanding about the main objective from this research. The comparison between
empirical evidence and results concerning the determinants of dividend policy in
Vietnam in this study is summarized in table 4.9:
Table 4.9 Comparison between empirical evidence and results in the study
Variables
Proposition
Financial Leverage
Hypotheses
Results
Sig.
Hypotheses
Positive/ Negative Positive
Positive
level
Yes
status
Accept
Investment
Positive/Negative
Negative
Negative
No
Reject
Risk
Negative
Negative
Positive
No
Reject
Corporate Tax
Negative
Negative
Negative
Yes
Accept
Liquidity
Positive
Positive
Positive
No
Reject
Structure of Asset
Positive
Positive
Positive
No
Reject
Sales Growth
Positive/Negative
Positive
Positive
No
Reject
Cash Flow
Positive/Negative
Positive
Positive
No
Reject
Market-to-book
Negative
Negative
Positive
No
Reject
value
Ownership
Positive/Negative
Positive
Negative
No
Reject
concentration
Firm size
Positive/Negative
Negative
Negative
No
Reject
Return on equity
Positive
Positive
Positive
Yes
Accept
Source: Author’s comparison on empirical evidence and analyzed result
57
Amongst three of final significant influence on dividend payout ratio, the
coefficient of return on equity is 1.97 which shows that this variable has the most positive
impact on dependent variable. . The slope coefficient of this variable is 1.97, suggesting
that a 1 unit increase in corporate income tax would increase 1.97 units in dividend
payout ratio (ceteris paribus). In adverse, the slope coefficient of corporate income tax is
-0.64, it means a 1 unit increase in corporate income tax would decrease 0.64 units in
dependent variable.
Market-to-book value is used as proxy for the firm’s future prospects and
investment opportunities is found to have insignificant with dividend payout ratio. This
measure is consistent with the findings of studies of Collins (1999) and Zeng (2003)
implies that emerging market has different distinctions that lead concentration. If we
consider the percentage of majority shareholders, tax-based theory has better discussion
to explain the negative sign between dividend payout and ownership concentration
because of dividend preference (Short, 2002). However, it is then remarkable that
ownership concentration, which Jensen et al. (1992) regard as an another control tool, has
a meaningless affect on dividend policy, as described by Renneboog and Trojanowski
(2006) for the UK and Fenn and Liang (2001) for the US. Fenn and Liang (2001) for the
US and Renneboog and Trojanowski (2006) for the UK. relied on the insignificant
regression results, this factor is not the main concern of the firms to pay dividends.
Alli (1993) also reveals that dividend reimbursement depends on cash flows, which
demonstrate the company’s ability to cover dividend payments, than on current earnings,
which are less strongly affected by accounting practices. Green (1993) questions the
irrelevance problem and examined the relationship between the dividends and
58
investment. Their study shows that dividend decision is taken along with investment and
financing decisions. The results however do not support the views of Miller and
Modigliani (1961). Dhrymes and Kurz (1967) and McCabe (1979) find that the firm’s
investment decision has the connection with its financing decision. Higgins (1972), and
Smirlock and Marshall (1983) document no interdependence between investments and
dividends. Mollah (2002) finds that firms listed on the Dhaka Stock Exchange paid a
large dividend, even though the beta for their stock was high. He then argued that in an
emerging stock exchange, the dividend might not be the most appropriate tool to convey
correct information about transaction costs to the market. This study uses beta as a
common proxy for firm business risk, which represents a firm’s operating and financial
risk (Rozeff, 1982; Saxsena, 1999; Manos, 2002). The study of Abdul and Haruto (2012)
examined the determinants of dividend payout ratio of the companies of Karachi Stock
exchange 100 index for the year 2009, author also find that liquidity is found to be
insignificant in the study.
Based on these above results, we can conclude that our Hypotheses H2, H3, H5, H6,
H7, H8, H9, H10, and H11 are not supported due to insignificant relationship to dividend
payout ratio with 95 percent confidence interval. Hypothesis H1, H4 and H12 are partially
supported by which financial leverage and corporate income tax are positively related to
dividend payout with 95 percent confidence interval.
4.4. Answer research questions
4.4.1 Question 1
59
There is no doubt that several studies have been conducted (and is still on-going)
on the examination of determinants influencing on dividend payout ratio, but outcome of
these studies are mixed.
This research paper is an exertion to expose the insight dynamics for factors of
dividend payout with reference to listed companies on HOSE. In light of earlier literature,
key independent variables are recognized to attach their associate and effect on
determination of dividend payment. This research study investigates the connection
between dividend payout ratio and other predictors calculated based on financial
statements of listed companies.
As being predicted, the result of this study paper shows that financial leverage and
return on equity are statistically significant positive relationship with dividend payout
ratio, suggesting that highly financial leveraged and highly return on equity firms pay
higher dividend to their shareholders. Meanwhile, corporate income tax has a significant
negative impact on dividend payout ratio. This result is consistent with some of previous
researches.
4.4.1.1. Financial leverage
Belden et al. (2005) finds out, when he checks 524 large American firms in the list
of Forbes 500 from the period of 1998 to 2000, that debts are still existed in companies
implementing dividend policy to manage agency problems. Higher financial leverage
causes lower shareholder tax rate, hence it makes the firm pleasing to pay higher
dividend. Moreover, the stock market in Vietnam is quite young, investors tend to be
influenced by “crowded psychology”, and they become more sensitive with the debt
60
status of companies, so the debt level increase should come together with the increase in
dividend payout for maintaining the share price as well as the funding from investors. In
the crisis period started from 2008, the debt interest in Vietnamese bank could reach up to
20%, together with the governmental fiscal tightening package which make companies
meet obstacles in accessing to capital from bank or government, hence the firms tend to
search capital source from the stock market. The increase in amount of dividend payout
would attract more investors, a retain existing investors for financing purpose.
4.4.1.2. Return on equity
A recent research study of Denis and Osobov (2008) records the ratio of retained
earnings to equity as a significant determination influencing dividend policies in the most
six developed financial markets (the US, Germany, Canada, Japan, the UK, and France,).
The return on equity tells common shareholders how effectively their money is being
employed. Firms that have the experience of earning volatility find it difficult to make
dividend payment, thus such companies will have high probability to pay less or no
dividend. These results get the same point of view with previous empirical studies. In a
research that studies whether dividend payout policy effects firm performance in the
Ghana Stock Exchange, Amidu (2007) reveals that dividend payout ratio influences firm
performance especially the profitability. The results come to the conclusion there is a
positive and significant relationship between return on assets, return on equity, growth in
sales and dividend policy. This proves that when a firm has a certain policy to pay
dividends, its profitability is considered. The results also state a statistically significant
relationship between profitability and dividend policy. Mizuno (2007) gets along to the
61
fact that firms should pay dividends to shareholders if they cannot identify appropriate
investments which would bring higher returns than those expected by the shareholders.
4.4.1.3. Corporate income tax
Corporate income tax is expected to have a negative impact on dividend payout
ratio. If the tax rate of a country is increased, ‘all things being equal’ there will be a
reduction in the amount of distributable earnings left to be paid out as dividend hence the
negative impact. Dividends are currently paid out of after-tax amount, and interest
charges from before-tax amount. Permission for firms to deduct dividends as they do
interest charges would make dividends less costly to pay than before and would thus tend
to increase the payout ratio. The finding in this result is consistent with existing literature.
Tax, in the real world, is a very important issue that needs to be concerned. Bhattacharya
(1979) argues that under certain circumstances (outside investors have imperfect
information regarding the company’s future cash flows and capital gains, another
important assumption is that dividend amounts are at a higher tax rate compared to
capital gains) even though there is a tax disadvantage for dividends, companies would
choose to pay dividends in order to send positive signals to shareholders and outside
investors.
4.4.2. Question 2
In general, the value R-squared of final model in this research is average which
endorses that more than 43% of the variation in the outcome variable is made clear by the
exploratory variables of the model. Less than 57% variation in the dependent variable
remains unexplained by the independent variables of the study. The result from analysis
62
step 2 is consistent with the result from step 3 which shows there are three factors being
determinants of dividend payout ratio.
The most critical point is that among examined factors to the sample, return on
equity is the major determinant of dividend payout ratio in Vietnam. The variable of
financial leverage has the second positive impact on dividend payment, and the last one
corporate income tax makes the least negative influence on dividend ratio.
For the reason, investors who take care of business environment in Vietnam can
rely their expectations on the return on equity of a firm in the future to examine whether
they should buy, hold or sell their shares. The more return on equity a firm can achieve,
the more dividends securities holders are able to receive. The level of debt in one
company increase which means the risk increase to, normally raise in risk will lead to rise
in money (or amount of dividend). As explained above, in the current status of lacking of
debt source, companies try to cover the dividend to attract new investors as a solution for
capital financing. Therefore, with the current status, investors can base on the level of
debt as a second source of choosing investment chance, but the shareholders should be
careful when relying on this factor, because ability to pay debt is an important factor too.
In conclusion, with proposed 12 hypotheses in chapter three, nine of them are
rejected for insignificance in the analyzing progress. These results will be discussed
further in next chapter. We could find out the theories as well as current event or status to
explain clearly for the result testing in this chapter.
For summary, this chapter shows that progress of analyzing data collected as well
as explanation for phenomena happened in the progress of analyzing. According to the
63
result, the suggested model in chapter is explored by the listed companies. The results
shows that in suggested 12 hypotheses, only 3 of them are accepted based on the
significant level.
64
Chapter Five – Conclusion
In this chapter, accomplishments and limitations to gain objectives and contents
stated in chapter one will be evaluated. Moreover, in chapter four, data
collected are analyzed and explained for what mentioned in chapter one. The
result shows the data has the meaning and reasonably validity. In this chapter,
the summary of what has been done will be summarized and from that, some
recommendation will be suggested.
5.1. Conclusion
This research uses multiple linear regressions in Stata software to analyze the
determinants of dividend payout ratio in Vietnam based on a sample of 301 companies
listed on the HOSE within the period of 2008 to 2012. It is the contribution to current
Vietnamese literature by checking factors belonging to firms’ characteristics
(profitability, firm size, financial leverage, liquidity, asset structure, business risk and
growth opportunities) but also related to corporate governance that involves ownership
concentration.
Multivariate Regression Analysis is described as the most suitable instrument for
econometric analysis of the data. The descriptive statistics does not make sense in this
study because the independent variables are not standardized, variables can’t be
compared with each other. The Hausman test confirms the fixed effects characteristics of
collected and analyzed data. Meanwhile when the premises required to be fulfilled for
OLS are tested, the data are pointed to be free of multi-collinearity and free of
autocorrelation. After using three regressions method for analyzing, the results reveal that
65
financial leverage, corporate tax and return on equity have significant relationships with
dividend payout. The rest of the nine explanatory variables are found to be insignificant
reaction with dividend payout ratio in context of Vietnamese markets, especially with the
chosen proxy of variables in this study.
Actually, after analyzing the first step OLS, there are five exploratory variables to
be proved to have the influence on the chosen outcome variable. However, the result
from OLS is not reliable in the case of panel data like in this research. The second step of
linear regression with large dummy variables set is used to analyze with the purpose of
exploiting the characteristic of panel data. This step is not only cross-sectional analyze as
OLS, it includes the time-series factor for more reliable result. This step reduces one
more variable of structure of asset, and the index R-squared is increased remarkably. The
last analyze method, linear regression with lagged dependent variable is used to test
deeply whether the past record of dependent variable influences on the dependent
variables. Finally, return on equity and financial leverage show positive significant
association with the dependent variable of dividend payment, meanwhile corporate
income tax gives negative significant relationship with dependent variable. Thus amongst
the twelve variables selected from literature, these three variables are found to be
affecting dividend policy matters in context of Vietnam.
5.2. Contribution
The implications for shareholders from this study are that, with increase in the
liability or the decrease in assets (financial leverage) they can expect a larger increase in
dividend payout announcement for that year for being trusted the development of the
66
companies. Whereas corporate tax is consistent with the dividend payout implying that
managers in Vietnam retain their dividend payouts, rather increase it even in the presence
of corporate tax. Since dividend is also directly taxed, so the shareholder should be
vigilant in his net proceeds, since a corporate tax is being levied on the income of the
company yet dividends are being paid out to them which still have to be directly taxed
(double taxation).
For the managers, it’s a serious implication that the trend of dividend payout with
increase in corporate taxation should be discouraged. Since increase in tax means
decrease in net income. Managers should be focusing more on retained earnings rather
than dividend payment with reference to corporate taxation since it’s of utmost
significance in context of financial health of the firm under their management.
5.3. Recommendation
As dividend is an unsolved puzzle, so there are implications for future research.
The level impact of explanatory of the model in this research was given low through the
econometric results implying further research for future. There are two further analyses
being suggested to this paper. Firstly, in order to increase the generality of the
experiment, a time chain should be done; for example, listed firms on the HOSE and even
in HNX would be tested in a longer period which could be cover the crisis economy and
the recovery period for comparing purpose. Secondly, questionnaires as well as
interviews to directors of listed companies on the HOSE and HNX about factors driving
dividend policy of their firms would be a more useful method for future research.
67
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[...]... determine the dividend payout ratio in HOSE’s market To analyze the impact of proposed determinants on dividend payout ratio policy 1.5 Research questions Thus, the research questions of this study are: - What is the specific relationship between the dividend payout ratio and selected factors for listed company in HOSE? - Whether the degree of significance determinants on payout ratio policy is homologous... consider when making dividend payout decisions Only a little literature, especially for dividend determinants in Vietnam has focused on empirical estimations 1.2 Rationale It is generally recognized that the particular choice of dividend payout by a business at a given point of time has important implications for a variety of considerations of significance to management, particularly those of future investments... main purpose of this paper research is to find out the association between dividend policy and financial leverage, investment, risk, corporate tax, liquidity, size, structure of asset, sale growth, cash flow, market- to-book value, ownership concentration, sale size, and return on equity of listed companies on Ho Chi Minh City Stock Exchange (HOSE) The sample consisted of 301 listed firms on HOSE in five... the dividend is the profit-sharing to the company’s investors, compensating them back part of the capital Likewise the strategic options, the dividend is considered as an easy way for investors to get profit from possessing stocks without trading them Normally, the board of directors gives the decision of how much should pay as dividend to the shareholders of a firm The matter of dividend payout ratio. .. determine the dividend policy for companies on HoChiMinh City stock market By studying dividend policy of these companies using elements model, it is hoped to create a basis for future study of dividend determinants of other industry in Vietnam too The subject can be extended by the analysis of other policies by stock dividend, buying back shares and evaluating the combined effects of all of these dividend. .. finance, dividend policy is paid much attention on Based on the business perspective, the dividend is a significant source of money to be settled outside For instance, in particular 1995, the listed companies on the New York Stock Exchange had paid up the amount up to USD 130 billion of dividends for shareholders In terms of research, the dividend policy is a matter of controversy The question of whether... Thematic objective is based on the theories and practical evidences of dividend policies around the world to reach the analysis and evaluation of the dividend policy of listed companies on the HoChiMinh City stock market, which can be representative 6 for Vietnam stock market Since then, a significance proposal is set up for building appropriate dividend policy for the listed companies in the future Therefore,... stock dividends are those made payment in the form of supplementary stock/ stocks of the issuing firm Commonly, stock dividends are issued in fraction to share owners To support and to have ideal measure of the factors analyzing dividend payout policy, the study consults both cash and stock dividend Several intellectual publications have pursuit to build up theoretical models that managers should consider... policy an unsolved puzzle Although a large scale amount of research regarding dividends has been conducted, there is no homogeneous response for the question: what are the determinants of the companies dividend payout ratios? There exist many reasons for 10 why companies should pay or not to pay dividends For example, the dividend payout is critical for investors because: Dividends present certainty... determinants of dividend payout based on companies listed on HOSE 9 Chapter Two – Literature review The main purpose of this chapter is examining historically significant research studies that act as the basis for the proposed study With a view to implement the main purpose of this paper, the component problem statements are identified as follow: Determinants of dividend payout ratios: Evidence from .. .DETERMINANTS OF DIVIDEND PAYOUT RATIOS: EVIDENCE FROM LISTED COMPANIES ON HO CHI MINH STOCK MARKET In Partial Fulfillment of the Requirements of the Degree of MASTER OF BUSINESS ADMINISTRATION... the Determinants of dividend payout ratios: Evidence from listed companies on Ho Chi Minh Stock Market for the period of 2008-2012 would not have been possible without valuable contribution of. .. structure of asset, sale growth, cash flow, market- to-book value, ownership concentration, sale size, and return on equity of listed companies on Ho Chi Minh City Stock Exchange (HOSE) The sample consisted
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