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Does Asian Credit Default Swap Index Improve Portfolio Performance?

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Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2016)

Abstract

This study aims to find whether adding Asian Credit Default Swap (CDS) index will improve the portfolio performance. We introduce a new approach namely Markov switching copula approach to estimate the dependence between asset returns and evaluated the risks of the portfolio by using Value at Risk and Expected Shortfall. The empirical results show that the risk level in high dependence regime is less than in low dependence regime. We also find that including Asian CDS index in portfolio clearly increases the portfolio return.

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References

  1. Pinsent, W.: Credit default swaps: an introduction. Investopedia (2015)

    Google Scholar 

  2. Bai, M., Sun, L.: Application of copula and copula-CVaR in the multivariate port-folio optimization. In: Chen, B., Paterson, M., Zhang, G. (eds.) ESCAPE 2007. LNCS, vol. 4614, pp. 231–242. Springer, Heidelberg (2007). doi:10.1007/978-3-540-74450-4

    Chapter  Google Scholar 

  3. Halulu, S.: Quantifying the risk of portfolios containing stocks and commodities (Doctoral dissertation, Bogazii University) (2012)

    Google Scholar 

  4. Boubaker, H., Sghaier, N.: Portfolio optimization in the presence of dependent financial returns with long memory: a copula based approach. J. Bank. Finan. 37(2), 361–377 (2013)

    Article  Google Scholar 

  5. Kakouris, I., Rustem, B.: Robust portfolio optimization with copulas. Eur. J. Oper. Res. 235(1), 28–37 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  6. Patton, A.J.: A review of copula models for economic time series. J. Multivar. Anal. 110, 4–18 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  7. Tu, J.: Is regime switching in stock returns important in portfolio decisions? Manag. Sci. 56(7), 1198–1215 (2010)

    Article  MATH  Google Scholar 

  8. Ma, Y., MacLean, L., Xu, K., Zhao, Y.: A portfolio optimization model with regime-switching risk factors for sector exchange traded funds. Pac. J. Optim. 7(2), 281–296 (2011)

    MathSciNet  MATH  Google Scholar 

  9. Kaura, V.: Portfolio optimisation using value at risk (Doctoral dissertation, Masters thesis, Imperial College London, 2005.[cited at p. 14]) (2005)

    Google Scholar 

  10. Cotter, J., Longin, F.M.: Implied correlation from VaR. SSRN 996080 (2007)

    Google Scholar 

  11. Hamilton, J.D.: A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica J. Econometric Soc. 57(2), 357–384 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  12. Rodriguez, J.C.: Measuring financial contagion: a copula approach. J. Empirical Finan. 14(3), 401–423 (2007)

    Article  Google Scholar 

  13. Okimoto, T.: New evidence of asymmetric dependence structures in international equity markets. J. Financ. Quant. Anal. 43(3), 787–816 (2008)

    Article  Google Scholar 

  14. Sklar, M.: Fonctions de rpartition n dimensions et leurs marges. Universit Paris 8, 229–231 (1959)

    MathSciNet  Google Scholar 

  15. Patton, A.J.: Modeling asymmetric exchange rate dependence. Int. Econ. Rev. 47(2), 527–556 (2006)

    Article  MathSciNet  Google Scholar 

  16. Hofert, M., Machler, M., McNeil, A.J.: Likelihood inference for archimedean copula in high dimensions under known margins. J. Multivar. Anal. 110, 133–150 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  17. Wang, Y.: Numerical approximations and goodness-of-fit of copulas (2012)

    Google Scholar 

  18. Stöber, J., Czado, C.: Detecting regime switches in the dependence structure of high dimensional financial data. arXiv preprint http://arxiv.org/abs/1202.2009 (2012)

  19. Pastpipatkul, P., Yamaka, W., Sriboonchitta, S.: Analyzing financial risk and co-movement of gold market, and indonesian, philippine, and thailand stock markets: dynamic copula with markov-switching. In: Huynh, V.-N., Kreinovich, V., Sriboonchitta, S. (eds.) Causal Inference in Econometrics. SCI, vol. 622, pp. 565–586. Springer, Heidelberg (2016). doi:10.1007/978-3-319-27284-9_37

    Chapter  Google Scholar 

  20. Chollete, L., Heinen, A., Valdesogo, A.: Modeling international financial returns with a multivariate regime-switching copula. J. Financ. Econometrics 7(4), 437–480 (2009)

    Article  Google Scholar 

  21. Rockafellar, R.T., Uryasev, S.: Conditional value-at-risk for general loss distributions. J. Bank. Finan. 26(7), 1443–1471 (2002)

    Article  Google Scholar 

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Acknowledgement

We are grateful for financial support from Graduate School, Chiang Mai University.

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Correspondence to Chatchai Khiewngamdee .

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Khiewngamdee, C., Yamaka, W., Sriboonchitta, S. (2016). Does Asian Credit Default Swap Index Improve Portfolio Performance?. In: Huynh, VN., Inuiguchi, M., Le, B., Le, B., Denoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2016. Lecture Notes in Computer Science(), vol 9978. Springer, Cham. https://doi.org/10.1007/978-3-319-49046-5_53

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  • DOI: https://doi.org/10.1007/978-3-319-49046-5_53

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