Abstract
This paper aims at evaluating the performance of Asian Credit Default Swap (CDS) index in risk measurement and portfolio optimization by using several multivariate copulas-GARCH models with Expected Shortfall and Sharpe ratio. Multivariate copula-GARCH models consider the volatility and dependence structures of financial assets so that they are conductive to accurately predict risk and optimal portfolio. We find that vine copulas have better performance than other multivariate copulas in model estimation, while the multivariate T copulas have better performance than other kinds of copulas in risk measurement and portfolio optimization. Therefore, the model estimation, risk measurement, and portfolio optimization in empirical study should use different copula models. More importantly, the empirical results give evidences that Asian CDS index can reduce risk.
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Acknowledgements
The financial support from the Puay Ungphakorn Centre of Excellence in Econometrics is greatly acknowledged. We would also like to express our gratitude to the many colleagues with whom, through the years, we have had the pleasure of discussing ideas on copulas and their applications.
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Liu, J., Khiewngamdee, C., Sriboonchitta, S. (2017). The Role of Asian Credit Default Swap Index in Portfolio Risk Management. In: Kreinovich, V., Sriboonchitta, S., Huynh, VN. (eds) Robustness in Econometrics. Studies in Computational Intelligence, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-319-50742-2_26
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DOI: https://doi.org/10.1007/978-3-319-50742-2_26
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