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The Relevance of Market Variables in the CDS Spread Volatility: An Empirical Post-crisis Analysis

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  • Elisa Di Febo
  • Eliana Angelini

Abstract

The purpose of this article is to examine the factors which define the changes of credit default swap (CDS) premiums, therefore, to analyse the indicator ability of CDS spreads on the credit market. The value of the ‘indicator’ of CDS spreads in the credit market has been recently highlighted due to the ‘failure’ of the rating agencies as an indicator to represent and ‘monitor’ the credit risk associate to an established reference entity. In detail, the empirical analysis is focused on a sample of 308 European corporates listed on the stock exchange holding five-year CDS spreads. The timeline considered is from 1 April 2005 to 31 March 2015, taking into account both the period pre- and post-financial crisis. Data has been elaborated from Bloomberg. The choice to analyse the European companies has been made to verify the behaviour of the determinants of CDS in a market that has very different characteristics compared to the USA (both structural and regulatory). In total period analysis, we find that both the firm variables and market variables are significant. In particularity, in post-financial crisis, only market variables are statistically significant and they have an explanatory power equal to 57 per cent.

Suggested Citation

  • Elisa Di Febo & Eliana Angelini, 2018. "The Relevance of Market Variables in the CDS Spread Volatility: An Empirical Post-crisis Analysis," Global Business Review, International Management Institute, vol. 19(6), pages 1462-1477, December.
  • Handle: RePEc:sae:globus:v:19:y:2018:i:6:p:1462-1477
    DOI: 10.1177/0972150918794566
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    1. Antje Berndt & Rohan Douglas & Darrell Duffie & Mark Ferguson, "undated". "Measuring Default Risk Premia from Default Swap Rates and EDFs," GSIA Working Papers 2006-E31, Carnegie Mellon University, Tepper School of Business.
    2. 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.
    3. Houweling, Patrick & Vorst, Ton, 2005. "Pricing default swaps: Empirical evidence," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1200-1225, December.
    4. Black, Fischer & Cox, John C, 1976. "Valuing Corporate Securities: Some Effects of Bond Indenture Provisions," Journal of Finance, American Finance Association, vol. 31(2), pages 351-367, May.
    5. Jeffery D Amato, 2005. "Risk aversion and risk premia in the CDS market," BIS Quarterly Review, Bank for International Settlements, December.
    6. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    7. Benjamin Yibin Zhang & Hao Zhou & Haibin Zhu, 2009. "Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5099-5131, December.
    8. Antonio Di Cesare & Giovanni Guazzarotti, 2010. "An analysis of the determinants of credit default swap spread changes before and during the subprime financial turmoil," Temi di discussione (Economic working papers) 749, Bank of Italy, Economic Research and International Relations Area.
    9. Jeffery D Amato & Eli M Remolona, 2003. "The credit spread puzzle," BIS Quarterly Review, Bank for International Settlements, December.
    10. Eliana Angelini & Elisa Di Febo, 2014. "CDS Spreads: an Empirical Analysis on the Determinants," Journal of Empirical Economics, Research Academy of Social Sciences, vol. 2(2), pages 70-87.
    11. Duffie, Darrell & Singleton, Kenneth J, 1999. "Modeling Term Structures of Defaultable Bonds," The Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 687-720.
    12. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    13. Corò, Filippo & Dufour, Alfonso & Varotto, Simone, 2013. "Credit and liquidity components of corporate CDS spreads," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5511-5525.
    14. Robert A. Jarrow & Stuart M. Turnbull, 2008. "Pricing Derivatives on Financial Securities Subject to Credit Risk," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409, World Scientific Publishing Co. Pte. Ltd..
    15. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    16. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    17. Longstaff, Francis A & Schwartz, Eduardo S, 1995. "A Simple Approach to Valuing Risky Fixed and Floating Rate Debt," Journal of Finance, American Finance Association, vol. 50(3), pages 789-819, July.
    18. Zhou, Chunsheng, 2001. "The term structure of credit spreads with jump risk," Journal of Banking & Finance, Elsevier, vol. 25(11), pages 2015-2040, November.
    19. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
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