VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach
© 2017 The authors and IOS Press. All rights reserved. This paper uses the eGARCH-Copula model to examine the tail dependence and Value at Risk (VaR) of the log returns of the US and Asian exchange indices as pairs of portfolio in three periods: before, in and after finance crisis. The results indic...
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| Main Authors: | , , |
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| 格式: | Book Series |
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2018
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| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034225100&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57159 |
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| 機構: | Chiang Mai University |
| 總結: | © 2017 The authors and IOS Press. All rights reserved. This paper uses the eGARCH-Copula model to examine the tail dependence and Value at Risk (VaR) of the log returns of the US and Asian exchange indices as pairs of portfolio in three periods: before, in and after finance crisis. The results indicated that the eGARCH-Copula model works well on measuring the tail dependence and VaR between the US and Asian stock market; and after finance crisis, the dependence structure changed including on tail dependence and VaR. |
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