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研究生: 張力升
Li-Sheng Chang
論文名稱: 垃圾債券是否具有較高的超額報酬?
Are Junk Bonds Junk?
指導教授: 張光第
Guangdi Chang
口試委員: 李志宏
Jie-Haun Lee
徐中琦
Junchi Shyu
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2010
畢業學年度: 98
語文別: 英文
論文頁數: 69
中文關鍵詞: 垃圾債券超額報酬綜效負凸性綜效系統風險綜效比率夏普比率資訊比率張比率
外文關鍵詞: Junk bonds, excess returns, synergy negative convexity, synergy systematic risk, synergy ratio, Sharpe ratio, information ratio, Chang ratio
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  • 本文使用夏普比率和資訊比率去探討金融海嘯後,是否因為綜效負凸性而使得垃圾債券比投資級債券有較高的超額報酬。我們的實證顯示出:(1) 在不同產業間,垃圾債券公司比投資級債券公司擁有較高的超額報酬,(2) 無論公司原始是垃圾債券或投資級債券, 當它被降等期間會比被升等期間有較高的超額報酬。(3) 垃圾債券指數會比對應的投資級債券指數有較高的超額報酬。會有這些情況,是否是因為在金融海嘯前對垃圾債券就存在錯誤認知,以及綜效系統風險導致投資人對垃圾債券需求不足,亦使得其價值被低估。因此,使其擁有較高的超額報酬。由於信用評等機構於對經濟環境的變動以及風險因素的思慮不夠縝密,即使在金融海嘯前,仍使得垃圾債券公司、被降等公司和垃圾債券指數,都能夠擁有較高的超額報酬。


    This paper employs Sharpe ratio and information ratio to investigate if junk bonds command higher excess returns than premium bonds due to the “synergy negative convexity” after the subprime crisis. Our empirical results reveal that: (1) Corporations with junk bond ratings have higher excess returns in equity values, as proxies for excess returns in bond prices, than those with premium bond ratings even in different sectors, (2) Downgraded corporations have excess returns in equity values, as proxies for excess returns in bond prices, than when upgraded, regardless they obtain premium bond or junk bond ratings, and (3) Junk bond indices have higher excess returns than corresponding premium bond indices. The implications of our findings are that the misperception about riskiness of junk bonds before the subprime crisis and the “synergy systematic risk” results in under-demanded and underpriced junk bonds, which lead to higher excess returns. Finally, the higher excess returns obtained by corporations with junk bond ratings, the downgraded corporations, or all junk bond indices in (3), are attributed to the ignorance of credit ratings agencies in any economic states and risk components even before the subprime crisis.

    A B S T R A C T Content 1. Introduction ---------------------------------------------------------------------------------- 1 2. Literature review 2.1. Components of expected excess corporate bond returns ----------------------------- 6 2.2. Natures of value creation ----------------------------------------------------------------- 6 2.3. Risk concentration ------------------------------------------------------------------------- 8 2.4. Model risk --------------------------------------------------------------------------------- 10 2.4.1. Probabilities of default ---------------------------------------------------------- 10 2.4.2. Recovery rates -------------------------------------------------------------------- 11 2.4.3. Default correlations -------------------------------------------------------------- 11 3. The model 3.1. Model of Coval, Jurek, and Stafford --------------------------------------------------- 13 3.2. A single-factor model -------------------------------------------------------------------- 17 3.3. Integrating Sharpe ratio or information ratio with Markowitz’s portfolio theory 18 4. Data 4.1. An indicator of catastrophe markets --------------------------------------------------- 21 4.2. A turning point in time ------------------------------------------------------------------- 21 4.3. The sample --------------------------------------------------------------------------------- 23 5. Empirical implications ------------------------------------------------------------------- 25 6. Conclusions and further extensions 6.1. Conclusions -------------------------------------------------------------------------------- 37 6.2. Extensions --------------------------------------------------------------------------------- 39 Acknowledgements --------------------------------------------------------------------------- 40 References -------------------------------------------------------------------------------------- 63

    1. Allen, J. B. and A. Saunders. 2004. Understanding Market, Credit, and Operational risk: The Value at Risk Approach, 1st edition, Chapter 4. Blackwell Publishing Ltd.

    2. Altman, E. 1997. Corporate Bond and Commercial Loan Portfolio Analysis. Working Paper, Wharton Financial Institutions Center’s conference on Risk Management in Banking.

    3. ________. 2006. Default Recovery Rates and LGD in Credit Risk Modeling and Practice: An Update Review of the Literature and Empirical Evidence. Working Paper, NYU Salomon Center, Stern School of Business, New York.

    4. Altman, E., A. Resti, and A. Sironi. 2004. Default Recovery Rates in Credit Risk Modeling: A Review of the Literature and Empirical Evidence. Economic Notes. Oxford University Press, Vol. 33, Issue 2, pp. 183.

    5. Amato, J. and J. Gyntelberg. 2005. CDS Index Tranches and the Pricing of Credit Risk Correlations. BIS Quarterly Review, March, pp. 73-87.

    6. Amato, J. and E. Remolona. 2003. The Credit Spread Puzzle. BIS Quarterly Review, December, pp. 51-63.

    7. Ammer, J. and N. Clinton. 2004. Good News Is No News? The impact of Credit Rating Changes on the Pricing of Asset-Backed Securities. International Finance Discussion Paper, No. 809, Federal Reserve Board, July.

    8. Andrade, G. and S. N. Kaplan. 1998. How Costly is Financial (Not Economic) Distress? Evidence from Highly Leveraged Transactions that Became Distressed. The Journal of Finance. Vol. LIII, No. 5, pp. 1443-1493.

    9. Ashcraft, A. 2004. How Does Tranching Create Economic Value? Working Paper, Federal Reserve Bank of New York.

    10. Ashcraft, A. and T. Schuermann. 2008. Understanding the Securitization of Subprime Mortgage Credit. Working Paper, Federal Reserve Bank of New York.

    11. Baker, H. K. and S. A. Mansi. 2001. Assessing Credit Rating Agencies by Corporate Bond Issuers: The Case of Investment versus Non-Investment Grade Bonds. Working Paper (available at SSRN: http://ssrn.com/abstract=288683 or doi:10.2139/ssrn.288683).

    12. Bakshi, G., D. Madan, and F. X. Zhang. 2006. Investigating the Role of Systematic and Firm-Specific Factors in Default Risk: Lessons from Empirically Evaluating Credit Risk Models. Journal of Business, Vol. 79, pp. 1955-1987.

    13. Basel Committee on Banking Supervision (BCBS). 2006. Studies on Credit Risk Concentration: An Overview of the Issues and a Synopsis of the Results from the Research Task Force Project. Working Paper, No. 15, pp. 20-21, Basel, November.

    14. ______. 2008. Credit Risk Transfer. The Joint Forum, pp. 42-43, Basel, July.

    15. Cornell, B. and K. Green.1991. The investment Performance of Low-Grade Bond Funds. The Journal of Finance. Vol. XLVI, No. 1, pp. 29-48.

    16. Coval, J. D., J. Jurek, and E. Stafford. 2008. Economic Catastrophe Bonds, American Economic Review, Vol. 99, pp.628-666.

    17. ________. 2008. The Economics of Structured Finance. Working Paper, No. 09-060, NBER, Harvard Business School (available at SSRN: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1287363).

    18. Craig, S., R. Smith and S. Ng. 2008. Merrill Aims to Raise Billions More: Firm Dumps Mortgage Assets as Crisis Drags On; another Big Write-Down. Wall Street Journal, July 29.

    19. Da, Z. and P. Gao. 2009. Clientele Change, Persistent Liquidity Shock, and Bond Return Reversals After Rating Downgrades. Working Paper, University of Notre Dame - Mendoza College of Business.

    20. Davis, M. and V. Lo. 1999. Modelling Default Correlation in Bond Portfolios. Default Risk.com Working Paper.

    21. Driessen, J. 2005. Is Default Event Risk Priced in Corporate Bonds? Reviews of Financial Studies, Vol. 18, No. 1, pp. 165-195.

    22. Duellmann, K. and N. Masschelein. 2006. Sector Concentration Risk in Loan Portfolios and Economic Capital. Deutsche Bundesbank Discussion Paper, Series 2, No. 09. Working Paper, No. 105, National Bank of Belgium.

    23. Duellmann, K., M. Scheicher, and C. Schmieder. 2007. Asset Correlations and Credit Portfolio Risk - An Empirical Analysis. Deutsche Bundesbank Discussion Paper, Series 2, No. 13.

    24. Duffee, G. 1999. Estimating the Price of Default Risk. Review of Financial Studies, Vol. 12, No. 1, pp. 197-226.

    25. Duffie, D. and D. Lando. 2001. Term Structures of Credit Spreads with Incomplete Accounting Information. Econometrica, Vol. 69, No. 3, pp. 633-644.

    26. Duffie, D., L. H. Pedersen, and K. J. Singleton. 2001. Modeling Sovereign Yield Spreads: A Case Study of Russian Debt. Working Paper, Stanford University.

    27. Duffie, D. and K. J. Singleton. 1997. An Econometric Model of the Term Structure of Interest Rate Swap Yields. The Journal of Finance, Vol. 52, Issue 4, pp. 1287-1321.

    28. Emmer, S. and D. Tasche. 2005. Calculating Credit Risk Capital Charges With the One-factor Model. Journal of Risk, Vol. 7, No. 2, pp. 85-101.

    29. Fender, I. and J. Kiff. 2004. CDO Rating Methodology: Some Thoughts on Model Risk and its Implications. BIS Working Paper, No. 163, November, Forthcoming in Journal of Credit Risk.

    30. Fender, I. and J. Mitchell. 2005. Structured Finance: Complexity, Risk and The Use of Ratings. BIS Quarterly Review, pp. 67-79.

    31. Fitch Ratings. 2007. Inside the Ratings: What Credit Ratings Mean. August, 2007, pp. 13.

    32. Giesecke, K. 2004. Correlated Default with Incomplete Information. Journal of Banking and Finance, Vol. 28, Issue 7, pp. 1521-1545.

    33. Giesecke, K. and L. R. Goldberg. 2004. Sequential Defaults and Incomplete Information. Journal of Risk, Vol. 7, No. 1, pp. 1-26.

    34. Giesecke, K. and S. Weber. 2004. Cyclical Correlation, Credit contagion, and Portfolio Losses. Journal of Banking and Finance, Vol. 28, Issue 12, pp. 3009-3036.

    35. Gordy, M. B. and E. Lütkebohmert. 2007. Granularity Adjustment for Basel II. Deutsche Bundesbank Discussion Paper, Series 2, No. 1.

    36. Gupta, F., R. Prajogi, and E. Stubbs. 1999. The Information Ratio and Performance. The Journal of Portfolio Management, Vol. 26, No. 1, pp. 33-39 (available from www.iijournals.com/doi/abs/10.3905/jpm.1999.319779).

    37. Huang, J. Z. and M. Huang. 2003. How Much of the Corporate-Treasury Yield Spread is Due to Credit Risk? A New Calibration Approach. 14th Annual Conference on Financial Economics and Accounting (FEA); Texas Finance Festival (available at SSRN: http://ssrn.com/abstract=307360).

    38. Hu, J. 2007. Assessing the Credit Risk of CDOs Backed by Structured Finance Securities: Rating Analysts’ Challenges and Solutions. Moody’s Investors Service (available at SSRN: http://ssrn.com/abstract=1011184).

    39. Hull, J. 1997. Options, Futures and Other Derivatives, 7th edition, Chapter 22. Pearson Education, Inc., New Jersey.

    40. Hull, J. and A. White. 2006. Valuing Credit Derivatives Using an Implied Copula Approach. Journal of Derivatives, Vol. 14, No. 2, pp. 8-28.

    41. Janosi, T., R.A. Jarrow, and Y. Yildirim. 2002. Estimating Expected Losses and Liquidity Discounts Implicit in Debt Prices. Journal of Risk, Vol. 5, No. 1, pp. 1-38.

    42. Jarrow, R. A. 2001. Default Parameter Estimation using Market Prices. Financial Analysis Journal, Vol. 57, No. 5, pp. 75-92.

    43. Jarrow, R. A. and F. Yu. 2001. Counterparty Risk and the Pricing of the Defaultable Securities. The Journal of Finance, Vol. 56, No. 5, pp. 1765-1799.

    44. Jones, S., G. Tett, and P. J. Davies. 2008. Moody’s error gave top ratings to debt products. Financial Times, May 20 (available from: http://us.ft.com/ftgateway/superpage.ft?news_id=fto052020081848170760).

    45. Jorion, P. 2008. Financial Risk Management Handbook, 5th edition, Chapter 19, pp. 461~462. Wiley Finance.

    46. Kan, A., T. H. Kim, and H. White. 2003. Active Portfolio Management: The Power of the Treynor-Black Model. Working Paper (available from: http://weber.ucsd.edu/~mbacci/white/pub_files/hwcv-112.pdf).

    47. Li, D. X. 2000. On Default Correlation: A Copula Function Approach. Journal of Fixed Income, Vol. 9, No. 4, pp. 43-54.

    48. Liao, H. H., T. K. Chen, and Y. H. Su. 2009. Credit Analysis of Corporate Credit Portfolios--- A Cash Flow Based Conditional Independent Default Approach. Working Paper, National Taiwan University.

    49. Linter, J. 1965. The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolio and Capital Budgets. Review of Economics and Statistics, pp. 13-37.

    50. Markowitz, H. 1952. Portfolio Selection. The Journal of Finance, Vol. VII, No. 1, pp. 77-91.

    51. Madan, D. B. and H. Unal. 1998. Pricing the Risks of Default. Review of Derivatives Research, Vol. 2, No. 2-3, pp. 121-160.

    52. Mason, J. and J. Rosner. 2007. Where Did the Risk Go? How Misapplied Bond Ratings Cause Mortgage Backed Securities and Collateralized Debt Obligation Market Disruptions. Working Paper, Drexel University.

    53. McDonald, L. G. and P. Robinson. 2009. A Colossal Failure of Common sense: The inside Story of the Collapse of Lehman Brother. Crown Business.

    54. Merton, R. C. 1973. Theory of Rational Option Pricing. Bell Journal of Economics and Management Science, Vol. 4, No. 1, pp. 141-183.

    55. _______. 1974. On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. The Journal of Finance, Vol. 29, No. 2, pp. 449-470.

    56. Mitchell, J. 2005. Financial Intermediation Theory and the Sources of Value in Structured Finance Markets. NBB Working Paper, Nr 71.

    57. Professionally Gloomy. 2008. A Special Issue on International Banking, The Economist, May 15, 2008.

    58. Ruptured Credit. 2008. A Special Issue on International Banking, The Economist, May 15, 2008.

    59. Schonbucher, P. J. 2003. Credit Derivatives Pricing Models. Wiley Finance.

    60. _______. 2003. Factor Models: Portfolio Credit Risks When Defaults Are Correlated. Journal of Risk Finance, Vol. 3, Issue 1, pp. 45-56.

    61. Sharpe, W. F. 1964. Capital Asset Price: A Theory of Market Equilibrium under Conditions of Risk. The Journal of Finance, Vol. 19, No. 3, pp. 425-442.

    62. ________. 1994. The Sharpe Ratio. The Journal of Portfolio Management, Vol. 21, No.1, pp.49-58.

    63. Tarashev, N. and H. Zhu. 2007. Modelling and Calibration Errors in Measures of Portfolio Credit Risk. BIS Working Papers, No. 230, Basel, June.

    64. Treynor, J.L. and F. Black. 1973. How to Use Security Analysis to Improve Portfolio Selection. Journal of Business, January, pp. 66–88 (available from: http://www.jstor.org/pss/2351280).

    65. Uhlenbeck, G. E and L. S. Ornstein. 1930. On the Theory of the Brownian Motion. Physical Review, Vol. 36, pp. 823-841.

    66. Vasicek, O. A. 2002. The Distribution of Loan Portfolio Value. Risk Magazine, Vol. 15, No. 12, pp. 160-162.

    67. Zhang, F. X. 2003. What did the Credit Market Expect of Argentina Default? Evidence from Default Swap Data. AFA 2004 San Diego Meetings; EFA 2003 Annual Conference Paper, No. 131, FEDS Working Paper, No. 2003-25 (available at SSRN: http://ssrn.com/abstract=424303 or doi:10.2139/ssrn.424303).

    68. Zhou, C. 2001. The Term Structure of Credit Spreads with Jump Risk. Journal of Banking and Finance, Vol. 25, No. 11, pp. 2015-2040.

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