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The Impact Of Stock Returns Volatility On Credit Default Swap Rates: A Copula Study

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  • FATHI ABID

    (University of Sfax, UR: MO.DES.FI, Tunisia, Faculty of Business and Economics, Road of the Airport Km 4, Tunisia)

  • NADER NAIFAR

    (University of Sfax, UR: MO.DES.FI, Tunisia, Faculty of Business and Economics, Road of the Airport Km 4, Tunisia)

Abstract

The aim of this paper is to study the impact of stock returns volatility of reference entities on credit default swap rates using a new dataset from the Japanese market. The majority of empirical research suggests the inadequacy of multinormal distribution and then the failure of methods based on correlation for measuring the structure of dependency. Using a copula approach, we can model the different relationships that can exist in different ranges of behavior. We study the bivariate distributions of credit default swap rates and the measure of stock return volatility estimated with GARCH (1,1) and focus on one parameter Archimedean copula. Starting from the empirical rank correlation statistics (Kendall's tau and Spearman's rho), we estimate the parameter values of each copula function presented in our study. Then, we choose the appropriate Archimedean copula that better fit to our data. We emphasize the finding that pairs with higher rating present a weaker dependence coefficient and then, the impact of stock return volatility on credit default swap rates is higher for the lowest rating class.

Suggested Citation

  • Fathi Abid & Nader Naifar, 2005. "The Impact Of Stock Returns Volatility On Credit Default Swap Rates: A Copula Study," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8(08), pages 1135-1155.
    • Handle: RePEc:wsi:ijtafx:v:08:y:2005:i:08:n:s0219024905003372
    DOI: 10.1142/S0219024905003372
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    References listed on IDEAS

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    1. Norden, Lars & Weber, Martin, 2004. "The comovement of credit default swap, bond and stock markets: An empirical analysis," CFS Working Paper Series 2004/20, Center for Financial Studies (CFS).
    2. Ericsson, Jan & Jacobs, Kris & Oviedo, Rodolfo, 2009. "The Determinants of Credit Default Swap Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 109-132, February.
    3. 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.
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    Citations

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    Cited by:

    1. MICHIELS, Frederik & DE SCHEPPER, Ann, 2007. "A copula test space model: How to avoid the wrong copula choice," Working Papers 2007027, University of Antwerp, Faculty of Business and Economics.
    2. 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.
    3. Naifar, Nader, 2008. "La récente crise financière internationale cause t-elle la crise des marchés des swaps sur défaut de crédit? [Does the recent financial crisis affect credit default swap markets?]," MPRA Paper 11909, University Library of Munich, Germany.
    4. Mudiangombe, Benjamin & Muteba Mwamba, John Weirstrass, 2019. "Dependence Structure of Insurance Credit Default Swaps," MPRA Paper 97335, University Library of Munich, Germany.
    5. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736, September.
    6. Chen, Yi-Hsuan & Tu, Anthony H. & Wang, Kehluh, 2008. "Dependence structure between the credit default swap return and the kurtosis of the equity return distribution: Evidence from Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 259-271, July.
    7. Naifar, Nader, 2011. "What explains default risk premium during the financial crisis? Evidence from Japan," Journal of Economics and Business, Elsevier, vol. 63(5), pages 412-430, September.
    8. repec:mth:ijafr8:v:8:y:2018:i:4:p:248-286 is not listed on IDEAS
    9. Hong-Bae Kim & Tae-Jun Park, 2015. "The Behavior Comparison between Mean Reversion and Jump Diffusion of CDS Spread," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 3(4), pages 8-21.
    10. Fathi, Abid & Nader, Naifar, 2007. "Price Calibration of basket default swap: Evidence from Japanese market," MPRA Paper 6013, University Library of Munich, Germany.
    11. Kwamie Dunbar & Albert J. Edwards, 2007. "Empirical Analysis of Credit Risk Regime Switching and Temporal Conditional Default Correlation in Credit Default Swap Valuation: The Market liquidity effect," Working papers 2007-10, University of Connecticut, Department of Economics.
    12. Fathi, Abid & Nader, Naifar, 2007. "Copula based simulation procedures for pricing basket Credit Derivatives," MPRA Paper 6014, University Library of Munich, Germany.

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