Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory

© 2014 by the Mathematical Association of Thailand. All rights reserved. Normal distributions are appropriate to describe the behavior of stock market returns only when returns do not exhibit extreme behavior. This study examined extreme value theory (EVT) to capture more precisely the tail distribu...

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Main Authors: Apiwat Ayusuk, Songsak Sriboonchitta
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/53682
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-536822018-09-04T09:55:36Z Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory Apiwat Ayusuk Songsak Sriboonchitta Mathematics © 2014 by the Mathematical Association of Thailand. All rights reserved. Normal distributions are appropriate to describe the behavior of stock market returns only when returns do not exhibit extreme behavior. This study examined extreme value theory (EVT) to capture more precisely the tail distribution of market risk with vine copula and to identify the dependence structures between Asian emerging markets. We used value at risk (VaR) and conditional value at risk (CVaR), based on simulation method, to measure the market risk and portfolio optimization. Our empirical findings are that the conditional dependence between asymmetric volatility among five markets are positive and have the dependence between Indian and Thai stronger than other markets. The results of VaR and CVaR show that the Chinese market has the highest risk. 2018-09-04T09:55:36Z 2018-09-04T09:55:36Z 2014-01-01 Journal 16860209 2-s2.0-84907250736 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907250736&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53682
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Apiwat Ayusuk
Songsak Sriboonchitta
Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory
description © 2014 by the Mathematical Association of Thailand. All rights reserved. Normal distributions are appropriate to describe the behavior of stock market returns only when returns do not exhibit extreme behavior. This study examined extreme value theory (EVT) to capture more precisely the tail distribution of market risk with vine copula and to identify the dependence structures between Asian emerging markets. We used value at risk (VaR) and conditional value at risk (CVaR), based on simulation method, to measure the market risk and portfolio optimization. Our empirical findings are that the conditional dependence between asymmetric volatility among five markets are positive and have the dependence between Indian and Thai stronger than other markets. The results of VaR and CVaR show that the Chinese market has the highest risk.
format Journal
author Apiwat Ayusuk
Songsak Sriboonchitta
author_facet Apiwat Ayusuk
Songsak Sriboonchitta
author_sort Apiwat Ayusuk
title Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory
title_short Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory
title_full Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory
title_fullStr Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory
title_full_unstemmed Risk analysis in Asian emerging markets using canonical vine copula and extreme value theory
title_sort risk analysis in asian emerging markets using canonical vine copula and extreme value theory
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907250736&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53682
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