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Are all Credit Default Swap Databases Equal?

Author

Listed:
  • Sergio Mayordomo
  • Juan Ignacio Peña
  • Eduardo S. Schwartz

Abstract

CONTENTS: This paper compares the six major sources of corporate CDS prices (GFI, Fenics, Reuters EOD, CMA, Markit and JP Morgan) using the most liquid single name 5-year CDS of the components of the leading market indexes, iTraxx and CDX, for the period 2004-2010. We find systematic differences between the data sets implying that deviations from the common trend among prices in the different databases are not purely random but are explained by idiosyncratic factors as well as liquidity, global risk and other trading factors. The lower is the amount of transaction prices available the higher is the deviation among databases. The results suggest that the CMA database quotes lead the price discovery process in comparison with the quotes provided by other databases.

Suggested Citation

  • Sergio Mayordomo & Juan Ignacio Peña & Eduardo S. Schwartz, 2010. "Are all Credit Default Swap Databases Equal?," CNMV Working Papers CNMV Working Papers no. 4, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
  • Handle: RePEc:cnv:wpaper:dt_44en
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    1. Delianedis, Gordon & Geske, Robert, 2001. "The Components of Corporate Credit Spreads: Default, Recovery, Tax, Jumps, Liquidity, and Market Factors," University of California at Los Angeles, Anderson Graduate School of Management qt32x284q3, Anderson Graduate School of Management, UCLA.
    2. Didier Cossin & Tomas Hricko & Daniel Aunon-Nerin & Zhijiang Huang, 2002. "Exploring for the Determinants of Credit Risk in Credit Default Swap Transaction Data: Is Fixed-Income Markets’ Information Suffcient to Evaluate Credit Risk?," FAME Research Paper Series rp65, International Center for Financial Asset Management and Engineering.
    3. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
    4. Harvey, Campbell R, 1995. "Predictable Risk and Returns in Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 8(3), pages 773-816.
    5. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    6. Arora, Navneet & Gandhi, Priyank & Longstaff, Francis A., 2012. "Counterparty credit risk and the credit default swap market," Journal of Financial Economics, Elsevier, vol. 103(2), pages 280-293.
    7. Henry T. C. Hu & Bernard Black, 2008. "Debt, Equity and Hybrid Decoupling: Governance and Systemic Risk Implications," European Financial Management, European Financial Management Association, vol. 14(4), pages 663-709, September.
    8. Philippe Jorion, 2009. "Risk Management Lessons from the Credit Crisis," European Financial Management, European Financial Management Association, vol. 15(5), pages 923-933, November.
    9. Belén Villalonga, 2004. "Diversification Discount or Premium? New Evidence from the Business Information Tracking Series," Journal of Finance, American Finance Association, vol. 59(2), pages 479-506, April.
    10. 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.
    11. Paul Hamalainen & Adrian Pop & Max Hall & Barry Howcroft, 2012. "Did the Market Signal Impending Problems at Northern Rock? An Analysis of Four Financial Instruments," European Financial Management, European Financial Management Association, vol. 18(1), pages 68-87, January.
    12. Rosenberg, Barr & Houglet, Michel, 1974. "Error Rates in CRSP and Compustat Data Bases and their Implications," Journal of Finance, American Finance Association, vol. 29(4), pages 1303-1310, September.
    13. Cao, Charles & Yu, Fan & Zhong, Zhaodong, 2010. "The information content of option-implied volatility for credit default swap valuation," Journal of Financial Markets, Elsevier, vol. 13(3), pages 321-343, August.
    14. Acharya, Viral V. & Johnson, Timothy C., 2007. "Insider trading in credit derivatives," Journal of Financial Economics, Elsevier, vol. 84(1), pages 110-141, April.
    15. Roberto Blanco & Simon Brennan & Ian W. Marsh, 2004. "An empirical analysis of the dynamic relationship between investment grade bonds and credit default swaps," Working Papers 0401, Banco de España.
    16. Viral V. Acharya & Stephen Schaefer & Yili Zhang, 2015. "Liquidity Risk and Correlation Risk: A Clinical Study of the General Motors and Ford Downgrade of May 2005," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-51.
    17. Benjamin Yibin Zhang & Hao Zhou & Haibin Zhu, 2009. "Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms," Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5099-5131, December.
    18. Lars Norden & Martin Weber, 2009. "The Co†movement of Credit Default Swap, Bond and Stock Markets: an Empirical Analysis," European Financial Management, European Financial Management Association, vol. 15(3), pages 529-562, June.
    19. Marian Micu & Eli M Remolona & Philip D Wooldridge, 2004. "The price impact of rating announcements: evidence from the credit default swap market," BIS Quarterly Review, Bank for International Settlements, June.
    20. Edwin J. Elton & Martin J. Gruber & Deepak Agrawal & Christopher Mann, 2001. "Explaining the Rate Spread on Corporate Bonds," Journal of Finance, American Finance Association, vol. 56(1), pages 247-277, February.
    21. Mayordomo, Sergio & Peña, Juan Ignacio & Romo, Juan, 2009. "Are There Arbitrage Opportunities in Credit Derivatives Markets? A New Test and an Application to the Case of CDS and ASPs," DEE - Working Papers. Business Economics. WB wb096303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    22. Jorion, Philippe & Zhang, Gaiyan, 2007. "Good and bad credit contagion: Evidence from credit default swaps," Journal of Financial Economics, Elsevier, vol. 84(3), pages 860-883, June.
    23. Antoinette Schoar, 2002. "Effects of Corporate Diversification on Productivity," Journal of Finance, American Finance Association, vol. 57(6), pages 2379-2403, December.
    24. Bennin, Robert, 1980. "Error Rates in CRSP and COMPUSTAT: A Second Look," Journal of Finance, American Finance Association, vol. 35(5), pages 1267-1271, December.
    25. Long Chen & David A. Lesmond & Jason Wei, 2007. "Corporate Yield Spreads and Bond Liquidity," Journal of Finance, American Finance Association, vol. 62(1), pages 119-149, February.
    26. Roberto Blanco & Simon Brennan & Ian W. Marsh, 2005. "An Empirical Analysis of the Dynamic Relation between Investment‐Grade Bonds and Credit Default Swaps," Journal of Finance, American Finance Association, vol. 60(5), pages 2255-2281, October.
    27. Kevin Aretz & Peter F. Pope, 2013. "Common Factors in Default Risk Across Countries and Industries," European Financial Management, European Financial Management Association, vol. 19(1), pages 108-152, January.
    28. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    29. Chen, Ren-Raw & Cheng, Xiaolin & Liu, Bo, 2008. "Estimation and evaluation of the term structure of credit default swaps: An empirical study," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 339-349, December.
    30. Mascia Bedendo & Lara Cathcart & Lina El†Jahel, 2011. "Market and Model Credit Default Swap Spreads: Mind the Gap!," European Financial Management, European Financial Management Association, vol. 17(4), pages 655-678, September.
    31. Philippe Jorion & Gaiyan Zhang, 2009. "Credit Contagion from Counterparty Risk," Journal of Finance, American Finance Association, vol. 64(5), pages 2053-2087, October.
    32. Pierre Collin-Dufresn & Robert S. Goldstein & J. Spencer Martin, 2001. "The Determinants of Credit Spread Changes," Journal of Finance, American Finance Association, vol. 56(6), pages 2177-2207, December.
    33. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 211-235, June.
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    More about this item

    Keywords

    Credit Default Swap prices; Databases; Liquidity;
    All these keywords.

    JEL classification:

    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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