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Multi-Period Corporate Default Prediction With Stochastic Covariates

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Author Info
Darrel Duffie (Graduate School of Business, Stanford University)
Leandro Saita (Graduate School of Business, Stanford University)
Ke Wang (Faculty of Economics, University of Tokyo)
Abstract

We provide maximum likelihood estimators of term structures of conditional probabilities of corporate default, incorporating the dynamics of firm-specific and m acroeconomic covariates. For U.S. Industrial firms, based on over 390,000 firm-months of data spanning 1979 to 2004, the level and shape of the estimated term structure of conditional future default probabilities depends on a firm's distance to default (a volatility-adjusted measure of leverage), on the firm's trailing stock return, on trailing S& P 500 returns, and on U.S. interest rates, among other covariates. Variation in a firm's distance to default has a substantially greater effection the term structure of future default hazard rates than does a comparatively significant change in any of the other covariates. Default intensities are estimated to be lower with higher short-term interest rates. Theout-of-sample predictive performance of the model is an improvement over that of other available models.

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Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-373.

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Length: 45 pages
Date of creation: Sep 2005
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Handle: RePEc:tky:fseres:2005cf373

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  1. Til Schuermann & Bjoern-Jakob Treutler & Scott M. Weiner & M. Hashem Pesaran, 2003. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
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  2. David C. Wheelock & Paul W. Wilson, 1995. "Why do banks disappear? The determinants of U.S. bank failures and acquisitions," Working Papers 1995-013, Federal Reserve Bank of St. Louis. [Downloadable!]
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  3. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
  4. Duffie, Darrell & Lando, David, 2001. "Term Structures of Credit Spreads with Incomplete Accounting Information," Econometrica, Econometric Society, vol. 69(3), pages 633-64, May.
  5. Philosophov, Leonid V. & Philosophov, Vladimir L., 2002. "Corporate bankruptcy prognosis: An attempt at a combined prediction of the bankruptcy event and time interval of its occurrence," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 375-406. [Downloadable!] (restricted)
  6. Fischer, Edwin O & Heinkel, Robert & Zechner, Josef, 1989. " Dynamic Capital Structure Choice: Theory and Tests," Journal of Finance, American Finance Association, vol. 44(1), pages 19-40, March. [Downloadable!] (restricted)
  7. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000. "Stability of rating transitions," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 203-227, January. [Downloadable!] (restricted)
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  8. Gary Whalen, 1991. "A proportional hazards model of bank failure: an examination of its usefulness as an early warning tool," Economic Review, Federal Reserve Bank of Cleveland, issue Q I, pages 21-31. [Downloadable!]
  9. Maria Vassalou & Yuhang Xing, 2004. "Default Risk in Equity Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 831-868, 04. [Downloadable!] (restricted)
  10. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," Journal of Business, University of Chicago Press, vol. 74(1), pages 101-24, January. [Downloadable!] (restricted)
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  1. Francis A. Longstaff & Arvind Rajan, 2006. "An Empirical Analysis of the Pricing of Collateralized Debt Obligations," NBER Working Papers 12210, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Sanjiv Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2006. "Common Failings: How Corporate Defaults are Correlated," NBER Working Papers 11961, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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