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Change Analysis for the Dependence Structure and Dynamic Pricing of Basket Default Swaps

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  • Ping Li
  • Ze†Zheng Li

Abstract

In this paper we use a type of dynamic copula method to characterise the dependence structure between financial assets and price basket default swaps (BDSs). We first employ a goodness†of†fit test and a binary segmentation procedure to analyse the change of dependence structure between the obligations underlying a BDS, then present a numerical example to demonstrate the change analysis and BDS pricing process. We find that in different time periods, the best copula fitting the data is not the same; therefore the tranche spreads of the BDS are also different. We also compare our results with those obtained from static copulas and dynamic Gaussian copulas. The results show that the static copula and dynamic Gaussian copula methods underestimate the spreads for riskier tranches and overestimate those for less risky tranches.

Suggested Citation

  • Ping Li & Ze†Zheng Li, 2015. "Change Analysis for the Dependence Structure and Dynamic Pricing of Basket Default Swaps," European Financial Management, European Financial Management Association, vol. 21(4), pages 646-671, September.
  • Handle: RePEc:bla:eufman:v:21:y:2015:i:4:p:646-671
    DOI: 10.1111/eufm.12036
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    References listed on IDEAS

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    1. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    2. Mark Joshi & Dherminder Kainth, 2004. "Rapid and accurate development of prices and Greeks for nth to default credit swaps in the Li model," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 266-275.
    3. Robert A. Jarrow & Stuart M. Turnbull, 2008. "Pricing Derivatives on Financial Securities Subject to Credit Risk," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409, World Scientific Publishing Co. Pte. Ltd..
    4. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    5. Choe, Geon Ho & Jang, Hyun Jin, 2011. "Efficient algorithms for basket default swap pricing with multivariate Archimedean copulas," Insurance: Mathematics and Economics, Elsevier, vol. 48(2), pages 205-213, March.
    6. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    7. Genest, Christian & Rémillard, Bruno & Beaudoin, David, 2009. "Goodness-of-fit tests for copulas: A review and a power study," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 199-213, April.
    8. Harry Zheng & Lishang Jiang, 2009. "Basket CDS pricing with interacting intensities," Finance and Stochastics, Springer, vol. 13(3), pages 445-469, September.
    9. Michael J. Brennan & Julia Hein & Ser†Huang Poon, 2009. "Tranching and Rating," European Financial Management, European Financial Management Association, vol. 15(5), pages 891-922, November.
    10. Mascia Bedendo & Lara Cathcart & Lina El†Jahel, 2011. "Market and Model Credit Default Swap Spreads: Mind the Gap!," European Financial Management, European Financial Management Association, vol. 17(4), pages 655-678, September.
    11. Wu, Chih-Chiang & Liang, Shin-Shun, 2011. "The economic value of range-based covariance between stock and bond returns with dynamic copulas," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 711-727, September.
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    Cited by:

    1. Li, Jie & Li, Ping, 2021. "Empirical analysis of the dynamic dependence between WTI oil and Chinese energy stocks," Energy Economics, Elsevier, vol. 93(C).
    2. Su, Xiaoshan & Li, Yuhan, 2024. "Robust portfolio selection with subjective risk aversion under dependence uncertainty," Economic Modelling, Elsevier, vol. 132(C).
    3. Han, Yingwei & Li, Ping & Xia, Yong, 2017. "Dynamic robust portfolio selection with copulas," Finance Research Letters, Elsevier, vol. 21(C), pages 190-200.

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