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Default risk in corporate yield spreads

Author

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  • Dionne, Georges

    (HEC Montreal, Canada Research Chair in Risk Management)

  • Gauthier, Geneviève

    (HEC Montreal, Department of Decision Sciences)

  • Hammami, Khemais

    (HEC Montreal, Canada Research Chair in Risk Management)

  • Maurice, Mathieu

    (Université de Montréal)

  • Simonato, Jean-Guy

    (HEC Montréal, Department of Finance)

Abstract

An important research question examined in the credit risk literature focuses on the proportion of corporate yield spreads attributed to default risk. This topic is reexamined in the light of the different issues associated with the computation of transition and default probabilities obtained from historical default data. We find that the out of sample estimated default risk proportion in corporate yield spreads is highly sensitive to the ex-ante estimated term structure of default probabilities used as inputs. This proportion can become a large fraction of the yield spread when sensitivity analyses are made with respect to the period over which the probabilities are estimated and the recovery rates. The computation of approximate confidence sets evaluates the statistical precision of the estimated proportions which are also shown to be sensitive to the different filtering procedures required to treat the historical default data base.

Suggested Citation

  • Dionne, Georges & Gauthier, Geneviève & Hammami, Khemais & Maurice, Mathieu & Simonato, Jean-Guy, 2009. "Default risk in corporate yield spreads," Working Papers 05-8, HEC Montreal, Canada Research Chair in Risk Management.
  • Handle: RePEc:ris:crcrmw:2005_008
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    Cited by:

    1. Georges Dionne & Sadok Laajimi & Sofiane Mejri & Madalina Petrescu, 2006. "Estimation of the Default Risk of Publicly Traded Canadian Companies," Cahiers de recherche 0613, CIRPEE.
    2. Georges Dionne & Olfa Maalaoui Chun, 2013. "Presidential Address: Default and liquidity regimes in the bond market during the 2002–2012 period," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(4), pages 1160-1195, November.
    3. Dionne, Georges & Gauthier, Geneviève & Hammami, Khemais & Maurice, Mathieu & Simonato, Jean-Guy, 2011. "A reduced form model of default spreads with Markov-switching macroeconomic factors," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1984-2000, August.
    4. Tu, Anthony H. & Chen, Cathy Yi-Hsuan, 2018. "A factor-based approach of bond portfolio value-at-risk: The informational roles of macroeconomic and financial stress factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 243-268.
    5. Georges Dionne, 2013. "Risk Management: History, Definition, and Critique," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(2), pages 147-166, September.
    6. Okou, Cedric & Maalaoui Chun, Olfa & Dionne, Georges & Li, Jingyuan, 2016. "Can Higher-Order Risks Explain the Credit Spread Puzzle?," Working Papers 16-1, HEC Montreal, Canada Research Chair in Risk Management.
    7. Anténor-Habazac, Cassandre & Dionne, Georges & Guesmi, Sahar, 2018. "Cyclical variations in liquidity risk of corporate bonds," Working Papers 18-3, HEC Montreal, Canada Research Chair in Risk Management.
    8. Robert Goldberg, 2015. "A methodology for computing and comparing implied equity and corporate-debt Sharpe Ratios," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 733-754, May.
    9. Anthony H. Tu & Cathy Yi-Hsuan Chen, 2016. "What Derives the Bond Portfolio Value-at-Risk: Information Roles of Macroeconomic and Financial Stress Factors," SFB 649 Discussion Papers SFB649DP2016-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Fathi Abid & Nader Naifar, 2006. "The Determinants Of Credit Default Swap Rates: An Explanatory Study," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 23-42.
    11. Rosella Castellano & Luisa Scaccia, 2014. "Can CDS indexes signal future turmoils in the stock market? A Markov switching perspective," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 285-305, June.

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    More about this item

    Keywords

    Corporate yield spread; default risk; estimation period; generator; recovery rate; data filtration; confidence intervals;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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