Pricing kthrealization derivatives and collateralized debt obligation with multivariate Fréchet copula

Zhijin CHEN, Jingping YANG, Xiaoqian WANG

PDF(559 KB)
PDF(559 KB)
Front. Math. China ›› 2016, Vol. 11 ›› Issue (6) : 1419-1450. DOI: 10.1007/s11464-016-0537-8
RESEARCH ARTICLE
RESEARCH ARTICLE

Pricing kthrealization derivatives and collateralized debt obligation with multivariate Fréchet copula

Author information +
History +

Abstract

Copula method has been widely applied to model the correlation among underlying assets in financial market. In this paper, we propose to use the multivariate Fréchet copula family presented in J. P. Yang et al. [Insurance Math. Econom., 2009, 45: 139–147] to price multivariate financial instruments whose payoffs depend on the kth realization of the underlying assets and collateralized debt obligation (CDO). The advantage of the multivariate Fréchet copula is discussed. Empirical study shows that such copula family gives a better fitting to CDO’s market price than Gaussian copula for some derivatives.

Keywords

Multivariate Fréchet copula / kth realization derivative / order statistics / collateralized debt obligation (CDO) /

Cite this article

Download citation ▾
Zhijin CHEN, Jingping YANG, Xiaoqian WANG. Pricing kthrealization derivatives and collateralized debt obligation with multivariate Fréchet copula. Front. Math. China, 2016, 11(6): 1419‒1450 https://doi.org/10.1007/s11464-016-0537-8

References

[1]
Chen Z, Glasserman P. Fast pricing of basket default swaps. Operations Research, 2008, 56: 286–303
CrossRef Google scholar
[2]
Credit Suisse Financial Products. CreditRisk+: A credit risk management framework. Technical Report, 1997, http://www.defaultrisk.com/pp model 21.htm
[3]
Hull J, White A. Valuing credit default swaps II: Modeling default correlations. Journal of Derivatives, 2001, 8: 12–21
CrossRef Google scholar
[4]
Hull J, White A. Valuation of a CDO and an nth to default CDS without Monte Carlo simulation. Journal of Derivatives, 2004, 12: 8–23
CrossRef Google scholar
[5]
Johnson H. Options on maximum or the minimum of several assets. Journal of Financial and Quantitative Analysis, 1987, 22: 277–283
CrossRef Google scholar
[6]
Joshi M, Kainth D. Rapid and accurate development of prices and Greeks for nth to default credit swaps in the Li model. Quantitative Finance, 2004, 4: 266–275
CrossRef Google scholar
[7]
Laurent J P, Gregory J. Basket default swap, CDO’s and factor copula. Journal of Risk, 2005, 7: 103–122
CrossRef Google scholar
[8]
Li D X. On default correlation: a copula approach. Journal of Fixed Income, 2000, 9: 43–54
CrossRef Google scholar
[9]
Meaney J. Dealing with the volatility smile of Himalayan options. In: Vanmaele M, Deelstra G, Schepper A D, Dhaene J, Reynaerts H, Schoutens W, Goethem P V, eds. 5th Actuarial and Financial Mathematics Day in 2007. Wetteren: Universa Press, 2007
[10]
Meneguzzo D, Vecchiato W. Copula sensitivity in collateralized debt obligations and basket default swaps. Journal of Futures Markets, 2004, 24: 37–70
CrossRef Google scholar
[11]
Ouwehand P, West G. Pricing rainbow options. Wilmott Magazine, 2006, (1): 74–80
[12]
Yang J P, Cheng S H, Zhang L H. Bivariate copula decomposition in terms of comonotonicity, countermonotonicity and independence. Insurance Math Econom, 2006, 39: 267–284
CrossRef Google scholar
[13]
Yang J P, Qi Y C, Wang R D. A class of multivariate copulas with bivariate Frechet marginal copulas. Insurance Math Econom, 2009, 45: 139–147
CrossRef Google scholar
[14]
Youn H, Shemyakin A. Statistical aspects of joint life insurance pricing. In: 1999 Proceedings of the Business and Statistics Section of the Amer Statist Assoc. 1999, 34–38

RIGHTS & PERMISSIONS

2016 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(559 KB)

Accesses

Citations

Detail

Sections
Recommended

/