Calibrating risk‐neutral default correlation

Emerald - Tập 8 Số 5 - Trang 450-464 - 2007
ElisaLuciano1
1Collegio Carlo Alberto, University of Turin and International Center for Economic Research, Turin, Italy

Tóm tắt

PurposeThe implementation of credit risk models has largely relied either on the use of historical default dependence, as proxied by the correlation of equity returns, or on risk neutral equicorrelation, as extracted from CDOs. Contrary to both approaches, the purpose of this paper is to infer risk neutral dependence from CDS data, taking counterparty risk into consideration and avoiding equicorrelation. The impact of risk neutral correlation on the fees of some higher dimensional credit derivatives is also explored.Design/methodology/approachCopula functions are used in order to capture dependency. An application to market data is provided.FindingsBoth in the FtD and CDO cases, using (the correct) risk neutral measure instead of equity dependency has the same effect as the adoption of a copula with tail dependency instead of a Gaussian one. This should be important for those who resort to copulas in credit derivative pricing.Originality/valueAs far as is known, several attempts have been made in order to compare the behavior of different copulas in derivative pricing; however, no attempt has been made in order to extract risk neutral dependence without using the equicorrelation assumption. Therefore no attempt has been made to understand which copula features could proxy for risk neutrality, whenever risk neutral dependency cannot be inferred (for instance because CDS involving that name are not actively traded)

Từ khóa


Tài liệu tham khảo

Blanco, R., Brennan, S. and Marsh, I.W. (2005), “An empirical analysis of the dynamic relationship between investment grade bonds and CDS”, Journal of Finance, Vol. 60, pp. 2255‐81.

Cherubini, U., Luciano, E. and Vecchiato, W. (2004), Copulas for Finance, John Wiley and Sons, New York, NY.

Ericsson, J., Jacobs, K. and Oviedo‐Helfenberger, R. (2004), “The determinants of CDS Premia”, working paper, McGill University, Montreal.

Frey, R., McNeil, A. and Nyfeler, M. (2001), “Copulas and credit models”, Risk, October, pp. 111‐4.

Li, D.X. (2000), “On default correlation: a copula function approach”, Journal of Fixed Income, Vol. 9, pp. 43‐54.

Mashal, R. and Naldi, M. (2003a), “Extreme events and Default Baskets”, in Gordy, M. (Ed.), Credit Risk Modelling, Risk Books, London, pp. 243‐50.

Mashal, R. and Naldi, M. (2003b), “Pricing portfolio default swaps with Counterparty Risk”, Lehman Brothers Quantitative Credit Research, New York, NY.

Mashal, R., Naldi, M. and Zeevi, A. (2003), “Comparing the dependence structure of equity and asset returns”, Lehman Brothers Quantitative Credit Research, New York, NY.

Mashal, R., Naldi, M. and Tejwani, G. (2004), “The implications of implied correlations”, Lehman Brothers Quantitative Credit Research, New York, NY, July.

Turnbull, S.M. (2004), “Counterparty risk and the effects on P&L”, working paper, University of Houston, Houston, TX.

Turnbull, S.M. (2005), “The pricing implications of counterparty risk for non liner credit products”, Journal of Credit Risk, Vol. 1 No. 4.

Walker, M. (2005), “Risk‐neutral correlations in the pricing and hedging of basket credit derivatives”, Journal of Credit Risk, Vol. 1 No. 1, pp. 131‐9.

Hull, J. and White, A. (2001), “Valuing credit default swaps II: modeling default correlations”, Journal of Derivatives, Spring.