stein - stochastic optimal control and the u.s. financial debt crisis (2012)

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stein - stochastic optimal control and the u.s. financial debt crisis (2012)

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[...]... Third, I discuss the controversy over deregulation Fourth, I discuss the failures of the IMF and economics profession J.L Stein, Stochastic Optimal Control and the U.S Financial Debt Crisis, DOI 10.1007/97 8-1 -4 61 4-3 07 9-7 _2, # Springer Science+Business Media New York 2012 13 14 2.1 2 The Fed, IMF and Disregarded Warnings Greenspan’s Theme and the Fed Prior to the subprime crisis of 2007, there was a false... appendix As the actual debt ratio exceeds the optimal ratio the expected growth declines and the risk rises Thereby the probability of a debt crisis is directly related to the excess debt, the actual less optimal A bubble is an unsustainable excess debt The second part of the chapter discusses the models used in the insurance, or actuarial literature, concerning the probability of ruin They are then compared... Abstract The theme of this book is that the application of Stochastic Optimal Control (SOC) is very helpful in understanding and predicting debt crises The mathematical analysis is applied empirically to the financial debt crisis of 2008, the crises of the 1980s and concludes with an analysis of the European debt crisis I use SOC to derive a theoretically founded quantitative measure of an optimal, and an... world J.L Stein, Stochastic Optimal Control and the U.S Financial Debt Crisis, DOI 10.1007/97 8-1 -4 61 4-3 07 9-7 _1, # Springer Science+Business Media New York 2012 1 2 1 Introduction Mortgage originators such as Countrywide sell packages of mortgages, household debt to the major banks The latter in turn structure the packages and tranche them into senior, mezzanine and equity tranches The income from the mortgages... the agricultural crisis and the S&L crisis They were very similar to the 2007–2008 financial crisis The big difference was that the agricultural crisis was localized On the other hand the housing sector and financial sectors were highly interrelated and leveraged The Fed lacked a theoretical model with explanatory power to evaluate systemic risk and the probability of bankruptcy/ruin resulting from debt. .. Subject and Contributions of This Book 5 evaluated risk and the probability of bankruptcy/ruin The crucial ultimate variable is the household debt, the mortgage debt The rest of the financial system rested upon the ability of the mortgagors to service their debts Systemic risk describes the effects of the failure of the mortgagors to service their debts upon the financial structure The leverage of the financial... 8 1 Introduction bound of the optimal debt ratio, based upon the alternative models, to derive a measure the excess debt: actual less the upper bound of the optimal ratio The derived excess debt is shown to be an early warning signal (EWS) of the debt crisis as early as 2004 Finally, the shadow banking system is discussed The financial crisis was precipitated by the mortgage crisis for several reasons... concerns the agricultural crisis of the 1980s and the S&L crisis in the 1980s I explain that these crises had many features in common, but were localized The crisis of 2007–2008 shared the common elements of the earlier two but was more pervasive and severe due to the financial structure that was based upon the housing/mortgage sector This focus is upon the crisis of the 1980s, in particular the agriculture... is the mechanism whereby the actions of the public and private sectors lead to an unsustainable debt burden, defined as the ratio of debt service/GDP The Stability and Growth Pact/Maastricht Treaty and the European Union focused upon rules concerning government debt ratios and deficit ratios They ignored the problem of “excessive” external debt ratios in the entire economy that led to a crisis in the. .. fundamentals are reflected in the optimal debt The housing price bubble, its subsequent collapse, and the financial crisis were not predicted by either the market, the Fed, the IMF or regulators in the years leading to the crisis Moreover, the Fed and Treasury rejected the warnings based upon publicly available information, and successfully advocated deregulation of Over The Counter (OTC) markets As . not just in the US but around the world. J.L. Stein, Stochastic Optimal Control and the U. S. Financial Debt Crisis, DOI 10.1007/97 8-1 -4 61 4-3 07 9-7 _1, # Springer Science+Business Media New York. desired risk-expected returns combinations. Using these techniques, physicists, mathematicians and computer scientists – the Quants – were attracted to Wall St. to use good mathematics to manufacture. borrowing. Securities firms and hedge funds may buy Credit Default Swaps (CDS) from companies such as AIG as insurance against declines in the values of the CDOs. If the mor tgagors are unable to service

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Mục lục

  • Cover

  • Stochastic Optimal Control and the U.S. Financial Debt Crisis

  • ISBN 9781461430780

  • Contents

    • List of Figures

    • List of Tables

    • Chapter 1: Introduction

      • 1.1 The Subject and Contributions of This Book

      • References

      • Chapter 2: The Fed, IMF and Disregarded Warnings

        • 2.1 Greenspan´s Theme and the Fed

          • 2.1.1 The Jackson Hole Consensus

          • 2.1.2 Desirable Leverage, Capital Requirements

          • 2.1.3 Market Anticipations of the Housing: Mortgage Debt Crisis

          • 2.1.4 The Disregarded Warnings

          • 2.1.5 The Controversy Over Regulation and Deregulation

          • 2.1.6 The Failures of International Monetary Fund Surveillance

          • 2.2 Conclusions

          • References

          • Chapter 3: Failure of the Quants

            • 3.1 Theme of This Chapter

            • 3.2 Leveraging

              • 3.2.1 The Incredible Leverage of Atlas Capital Funding

              • 3.3 Structure of Derivatives Market, Rating Agencies and Pricing of Derivatives

                • 3.3.1 Pricing CDOs

                • 3.4 Major Premise of Economics/Finance: No Arbitrage Principle (NAP)

                  • 3.4.1 CAPM Model

                  • 3.4.2 BSM Model

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