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Detecting Regime Shifts in Corporate Credit Spreads

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Author Info
Georges Dionne
Pascal François
Olfa Maalaoui

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Abstract

Studies about credit spread switching regimes typically make assumptions about the number of regimes for in-sample regime detection. This is because exploratory regime detection techniques are lacking in the literature. We employ a real time sequential technique to detect possible breakpoints in the mean and the variance of credit spreads. Our evidence shows that regime shifts are closely related to systematic shocks. Detected shifts in the mean and the variance have different patterns that provide new insights on the relation between economic and credit cycles. We also show that the employed out-of-sample detection technique can be valuable for market timing.

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Paper provided by CIRPEE in its series Cahiers de recherche with number 0929.

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Date of creation: 2009
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Handle: RePEc:lvl:lacicr:0929

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Related research
Keywords: Credit spread regimes; shifts in the mean and the variance; credit cycle; economic cycle; market timing;

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Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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  1. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423. [Downloadable!] (restricted)
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  5. Glenn D. Rudebusch & Tao Wu, 2007. "Accounting for a Shift in Term Structure Behavior with No-Arbitrage and Macro-Finance Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 395-422, 03. [Downloadable!] (restricted)
  6. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March. [Downloadable!]
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  7. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June. [Downloadable!] (restricted)
  8. John Y. Campbell & Glen B. Taksler, 2003. "Equity Volatility and Corporate Bond Yields," Journal of Finance, American Finance Association, vol. 58(6), pages 2321-2350, December. [Downloadable!] (restricted)
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  9. Davig, Troy, 2004. "Regime-switching debt and taxation," Journal of Monetary Economics, Elsevier, vol. 51(4), pages 837-859, May. [Downloadable!] (restricted)
  10. André Lucas & Siem Jan Koopman, 2005. "Business and default cycles for credit risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 311-323. [Downloadable!]
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  11. GIOT, Pierre & PETITJEAN, Mikael, 2006. "Short-term market timing using the Bond-Equity Yield Ratio," CORE Discussion Papers 2006090, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE). [Downloadable!]
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  12. Hull, John & Predescu, Mirela & White, Alan, 2004. "The relationship between credit default swap spreads, bond yields, and credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2789-2811, November. [Downloadable!] (restricted)
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    Other versions:
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