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Exploring for the Determinants of Credit Risk in Credit Default Swap Transaction Data: Is Fixed-Income Markets’ Information Suffcient to Evaluate Credit Risk?

Author

Listed:
  • Didier Cossin

    (HEC-University of Lausanne, IMD and FAME)

  • Tomas Hricko

    (HEC-University of Lausanne and Fame)

  • Daniel Aunon-Nerin

    (HEC-University of Lausanne and Fame)

  • Zhijiang Huang

    (HEC-University of Lausanne and Fame)

Abstract

We investigate the influence of various fundamental variables on a cross-section of credit default swap transaction data. Credit default swap rates can be seen as a superior proxy to credit risk than bond spreads are. Because we have transaction prices rather than quotes, we have thus observations of financial markets’ assessment of credit risk. Therefore our findings are relevant not only for the understanding of credit default swaps but for credit risk in general. The fundamental variables include fixed-income market data such as ratings, interest rate data and bond spreads as well as equity market data such as variance and market leverage (so called ” structural variables ”). We test for the stability of the influence of the different fundamental variables along several lines. We find evidence that most of the variables predicted by credit risk pricing theories have a significant impact on the observed levels of credit default prices. We also provide an international analysis of corporate credit risk, as half of our corporate sample is not US based, as well as some re-sults on sovereign credit risk. Using this information we are able to explain a significant portion of the cross-sectional variation in our sample with adjusted R 2 reaching 82% using the variables predicted by classical theoretical models. However there are important behavioral differences between high rated and low rated underlyings, sovereign and corporate underlyings and underlyings from different markets (US vs no US). We analyze these differences. We also find evidence of behavioral, momentum-like issues in equity markets-credit risk relationships. Overall, strong results show the importance of considering so called ”structural variables ” and equity market information as well as stochastic interest rates along with classical ratings when pricing credit risk overall. Furthermore, and contrarily to previous results, equity market information seems to matter for both high and low ratings, albeit in different ways. We implement a reduced-form model and analyze the errors obtained. Equity market variables seem to explain a large part of the errors. Overall, we document the importance of taking into account equity markets when doing credit risk analysis.

Suggested Citation

  • 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.
  • Handle: RePEc:fam:rpseri:rp65
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    References listed on IDEAS

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    1. Didier Cossin & Hugues Pirotte, 1998. "How well do classical credit risk pricing models fit swap transaction data?," European Financial Management, European Financial Management Association, vol. 4(1), pages 65-77.
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    Citations

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    Cited by:

    1. Blumenstock, Hendrik & von Grone, Udo & Mehlhorn, Marc & Merkl, Johannes & Pietz, Marcus, 2012. "Einflussfaktoren von CDS-Spreads als Maß für das aktuelle Bonitätsrisiko: Liefert das Rating eine Erklärung?," Bayreuth Working Papers on Finance, Accounting and Taxation (FAcT-Papers) 2012-03, University of Bayreuth, Chair of Finance and Banking.
    2. Jan De Wit, 2006. "Exploring the CDS-Bond Basis," Working Paper Research 104, National Bank of Belgium.
    3. Clothilde Lesplingart & Christophe Majois & Mikael Petitjean, 2012. "Liquidity and CDS premiums on European companies around the Subprime crisis," Review of Derivatives Research, Springer, vol. 15(3), pages 257-281, October.
    4. Calice, Giovanni & Ioannidis, Christos & Miao, RongHui, 2016. "A Markov switching unobserved component analysis of the CDX index term premium," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 189-204.
    5. Naifar, Nader, 2012. "Modeling the dependence structure between default risk premium, equity return volatility and the jump risk: Evidence from a financial crisis," Economic Modelling, Elsevier, vol. 29(2), pages 119-131.
    6. repec:eee:riibaf:v:44:y:2018:i:c:p:1-15 is not listed on IDEAS
    7. repec:eee:finsta:v:33:y:2017:i:c:p:60-70 is not listed on IDEAS
    8. 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.
    9. Virginie Coudert & Mathieu Gex, 2010. "Le règlement des défauts sur le marché des credit default swaps : le cas de Lehman Brothers," Revue d'Économie Financière, Programme National Persée, vol. 97(2), pages 15-34.
    10. Paulo Pereira da Silva, 2016. "Did Investors Seeking Short Exposure Move to the CDS Market after the 2011 Short-Sale Bans in European Financial Stocks?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 322-353, August.
    11. repec:kap:rqfnac:v:50:y:2018:i:2:d:10.1007_s11156-017-0639-8 is not listed on IDEAS
    12. François Guillemin & Hervé Alexandre & Catherine Refait-Alexandre, 2015. "Downgrades of sovereign credit ratings and impact on banks CDS spread: does disclosure by banks improve stability?," Post-Print hal-01622782, HAL.
    13. Pelster, Matthias & Vilsmeier, Johannes, 2016. "The determinants of CDS spreads: Evidence from the model space," Discussion Papers 43/2016, Deutsche Bundesbank.
    14. 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.
    15. Manmohan Singh & Jochen R. Andritzky, 2006. "The Pricing of Credit Default Swaps During Distress," IMF Working Papers 06/254, International Monetary Fund.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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