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Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices

Author

Listed:
  • Carol Alexander

    (Chair in Risk Management)

  • Andreas Kaeck

    (Graduate Program Finance and Information Management, University of Augsburg and Technical University of Munich)

Abstract

This paper investigates the determinants of the iTraxx CDS Europe indices, finding strong evidence that they are regime dependent. During volatile periods credit spreads become highly sensitive to stock volatility and more sensitive to this than to stock returns. They are also almost immune to interest rates changes. During tranquil periods credit spreads are more sensitive to stock returns than to volatility and most indices are sensitive to interest rate moves. However for companies in the financial sector interest rates have no significant influence in either regime. We also found some evidence that raising interest rates can decrease the probability of credit spreads entering a volatile period. Our findings are useful for policy makers and, since equity hedge ratios based on single-state models cannot capture the regime dependent behaviour of credit spreads, our results may also help traders to improve the efficiency of hedging credit default swaps. Finally, the volatility clustering and autocorrelation that we have identified in the price dynamics of iTraxx indices should prove useful for pricing the iTraxx options that are now being actively traded over-the-counter.

Suggested Citation

  • Carol Alexander & Andreas Kaeck, 2006. "Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices," ICMA Centre Discussion Papers in Finance icma-dp2006-08, Henley Business School, University of Reading.
  • Handle: RePEc:rdg:icmadp:icma-dp2006-08
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    File URL: http://www.icmacentre.ac.uk/pdf/discussion/DP2006-08.pdf
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    2. William Arrata & Alejandro Bernales & Virginie Coudert, 2013. "The Effects of Derivatives on Underlying Financial Markets: Equity Options, Commodity Derivatives and Credit Default Swaps," SUERF 50th Anniversary Volume Chapters, in: Morten Balling & Ernest Gnan (ed.), 50 Years of Money and Finance: Lessons and Challenges, chapter 13, pages 445-473, SUERF - The European Money and Finance Forum.
    3. Virginie Coudert & Mathieu Gex, 2013. "The Interactions between the Credit Default Swap and the Bond Markets in Financial Turmoil," Review of International Economics, Wiley Blackwell, vol. 21(3), pages 492-505, August.
    4. Schreiber, Irene & Müller, Gernot & Klüppelberg, Claudia & Wagner, Niklas, 2012. "Equities, credits and volatilities: A multivariate analysis of the European market during the subprime crisis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 57-65.
    5. Mustafa Akay & Berat Bayram & Abdullah Kazdal & Muhammed Hasan Yilmaz, 2020. "Investigating Regime-Dependent Dynamics in Country Risk Premium: Evidence from Turkey and Emerging Markets," CBT Research Notes in Economics 2008, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    6. Virginie Coudert & Mathieu Gex, 2010. "Disrupted links between credit default swaps, bonds and equities during the GM and Ford crisis in 2005," Applied Financial Economics, Taylor & Francis Journals, vol. 20(23), pages 1769-1792.

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    More about this item

    Keywords

    iTraxx; Credit Default Swap Index; Markov Switching; Credit Spreads;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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