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: Ji Ma, Jiangxu Liu, Songsak Sriboonchitta
Format: Book Series
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/57159
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-571592018-09-05T03:35:39Z VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach Ji Ma Jiangxu Liu Songsak Sriboonchitta Computer Science © 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. 2018-09-05T03:35:39Z 2018-09-05T03:35:39Z 2017-01-01 Book Series 09226389 2-s2.0-85034225100 10.3233/978-1-61499-828-0-79 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034225100&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57159
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
spellingShingle Computer Science
Ji Ma
Jiangxu Liu
Songsak Sriboonchitta
VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach
description © 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.
format Book Series
author Ji Ma
Jiangxu Liu
Songsak Sriboonchitta
author_facet Ji Ma
Jiangxu Liu
Songsak Sriboonchitta
author_sort Ji Ma
title VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach
title_short VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach
title_full VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach
title_fullStr VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach
title_full_unstemmed VaR and tail dependence between the US and Asian stock exchange indices - An EGARCH-copula approach
title_sort var and tail dependence between the us and asian stock exchange indices - an egarch-copula approach
publishDate 2018
url 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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