IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16590.html
   My bibliography  Save this paper

Are all Credit Default Swap Databases Equal?

Author

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

Abstract

The presence of different prices in different databases for the same securities can impair the comparability of research efforts and seriously damage the management decisions based upon such research. In this study we compare the six major sources of corporate Credit Default Swap 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 (European firms) and CDX (US firms) for the period from 2004 to 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. Our results suggest that the CMA database quotes lead the price discovery process in comparison with the quotes provided by other databases. Several robustness tests confirm these results.

Suggested Citation

  • Sergio Mayordomo & Juan Ignacio Peña & Eduardo S. Schwartz, 2010. "Are all Credit Default Swap Databases Equal?," NBER Working Papers 16590, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16590
    Note: AP
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16590.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Philippe Jorion, 2009. "Risk Management Lessons from the Credit Crisis," European Financial Management, European Financial Management Association, vol. 15(5), pages 923-933, November.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Antoinette Schoar, 2002. "Effects of Corporate Diversification on Productivity," Journal of Finance, American Finance Association, vol. 57(6), pages 2379-2403, December.
    13. Roberto Blanco & Simon Brennan & Ian W Marsh, 2004. "An empirical analysis of the dynamic relationship between investment-grade bonds and credit default swaps," Bank of England working papers 211, Bank of England.
    14. 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.
    15. 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.
    16. 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.
    17. Acharya, Viral V. & Johnson, Timothy C., 2007. "Insider trading in credit derivatives," Journal of Financial Economics, Elsevier, vol. 84(1), pages 110-141, April.
    18. Philippe Jorion & Gaiyan Zhang, 2009. "Credit Contagion from Counterparty Risk," Journal of Finance, American Finance Association, vol. 64(5), pages 2053-2087, October.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.
    2. Santiago Forte & Lidija Lovreta, 2015. "Time†Varying Credit Risk Discovery in the Stock and CDS Markets: Evidence from Quiet and Crisis Times," European Financial Management, European Financial Management Association, vol. 21(3), pages 430-461, June.
    3. Annaert, Jan & De Ceuster, Marc & Van Roy, Patrick & Vespro, Cristina, 2013. "What determines Euro area bank CDS spreads?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 444-461.
    4. Song Han & Hao Zhou, 2016. "Effects of Liquidity on the Non-Default Component of Corporate Yield Spreads: Evidence from Intraday Transactions Data," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 1-49, September.
    5. repec:zbw:rwirep:0243 is not listed on IDEAS
    6. Lamia Bekkour & Thorsten Lehnert & Maria Chiara Amadori, 2011. "The Relative Informational Efficiency of Stocks, Options and Credit Default Swaps," LSF Research Working Paper Series 11-13, Luxembourg School of Finance, University of Luxembourg.
    7. Belke, Ansgar & Gokus, Christian, 2011. "Volatility Patterns of CDS, Bond and Stock Markets Before and During the Financial Crisis – Evidence from Major Financial Institutions," Ruhr Economic Papers 243, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. repec:wyi:journl:002109 is not listed on IDEAS
    9. Ansgar Belke & Christian Gokus, 2011. "Volatility Patterns of CDS, Bond and Stock Markets Before and During the Financial Crisis – Evidence from Major Financial Institutions," Ruhr Economic Papers 0243, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    10. Arce, Oscar & Mayordomo, Sergio & Peña, Juan Ignacio, 2013. "Credit-risk valuation in the sovereign CDS and bonds markets: Evidence from the euro area crisis," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 124-145.
    11. Avino, Davide & Nneji, Ogonna, 2014. "Are CDS spreads predictable? An analysis of linear and non-linear forecasting models," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 262-274.
    12. Enrico Laghi & Michele Di Marcantonio & Eugenio D'Amico, 2014. "Estimating credit default swap spreads using accounting data, market quotes and credit ratings: the European Banks Case," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2014(2-3-4), pages 59-81.
    13. Zhang, Gaiyan & Zhang, Sanjian, 2013. "Information efficiency of the U.S. credit default swap market: Evidence from earnings surprises," Journal of Financial Stability, Elsevier, vol. 9(4), pages 720-730.
    14. Avino, Davide & Lazar, Emese & Varotto, Simone, 2013. "Price discovery of credit spreads in tranquil and crisis periods," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 242-253.
    15. Julian S. Leppin & Stefan Reitz, 2016. "The Role of a Changing Market Environment for Credit Default Swap Pricing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 209-223, July.
    16. Kiesel, Florian, 2016. "The effect of credit and rating events on credit default swap and equity markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81265, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Norden, Lars, 2017. "Information in CDS spreads," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 118-135.
    18. Óscar Arce & Sergio Mayordomo & Juan Ignacio Peña, 2012. "Credit-valuation in the sovereing CDS and bonds markets: Evidence from the euro area crisis," CNMV Working Papers CNMV Working Papers no. 5, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    19. Bertoni, Fabio & Lugo, Stefano, 2018. "Detecting abnormal changes in credit default swap spreads using matching-portfolio models," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 146-158.
    20. Stephen Zamore & Kwame Ohene Djan & Ilan Alon & Bersant Hobdari, 2018. "Credit Risk Research: Review and Agenda," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(4), pages 811-835, March.
    21. Kiesel, F., 2016. "The effect of credit and rating events on credit default swap and equity markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81247, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    22. Kucuk, Ugur N., 2010. "Non-default Component of Sovereign Emerging Market Yield Spreads and its Determinants: Evidence from Credit Default Swap Market," MPRA Paper 27428, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:16590. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.