Analyzing the contribution of ASEAN stock markets to systemic risk

© Springer International Publishing AG 2017. In this paper, seven stock markets from six countries (Thailand, Malaysia, Indonesia, Vietnam, the Philippines, and Singapore) and their risk contribution to ASEAN stock system are investigated using the Component Expected Shortfall approach. Prior to com...

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Main Authors: Tansuchat R., Yamaka W., Khemawani K., Sriboonchitta S.
Format: Book Series
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012868270&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40768
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-407682017-09-28T04:11:19Z Analyzing the contribution of ASEAN stock markets to systemic risk Tansuchat R. Yamaka W. Khemawani K. Sriboonchitta S. © Springer International Publishing AG 2017. In this paper, seven stock markets from six countries (Thailand, Malaysia, Indonesia, Vietnam, the Philippines, and Singapore) and their risk contribution to ASEAN stock system are investigated using the Component Expected Shortfall approach. Prior to computing this systemic risk measure, we need to compute a dynamic correlation, thus the study proposes a Markov Switching copula with time varying parameter to measure the dynamic correlation between each pair of stock market index and ASEAN stock system. The empirical results show that Philippines stock index contributed the highest risk to the ASEAN stock system. 2017-09-28T04:11:19Z 2017-09-28T04:11:19Z Book Series 1860949X 2-s2.0-85012868270 10.1007/978-3-319-50742-2_40 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012868270&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40768
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © Springer International Publishing AG 2017. In this paper, seven stock markets from six countries (Thailand, Malaysia, Indonesia, Vietnam, the Philippines, and Singapore) and their risk contribution to ASEAN stock system are investigated using the Component Expected Shortfall approach. Prior to computing this systemic risk measure, we need to compute a dynamic correlation, thus the study proposes a Markov Switching copula with time varying parameter to measure the dynamic correlation between each pair of stock market index and ASEAN stock system. The empirical results show that Philippines stock index contributed the highest risk to the ASEAN stock system.
format Book Series
author Tansuchat R.
Yamaka W.
Khemawani K.
Sriboonchitta S.
spellingShingle Tansuchat R.
Yamaka W.
Khemawani K.
Sriboonchitta S.
Analyzing the contribution of ASEAN stock markets to systemic risk
author_facet Tansuchat R.
Yamaka W.
Khemawani K.
Sriboonchitta S.
author_sort Tansuchat R.
title Analyzing the contribution of ASEAN stock markets to systemic risk
title_short Analyzing the contribution of ASEAN stock markets to systemic risk
title_full Analyzing the contribution of ASEAN stock markets to systemic risk
title_fullStr Analyzing the contribution of ASEAN stock markets to systemic risk
title_full_unstemmed Analyzing the contribution of ASEAN stock markets to systemic risk
title_sort analyzing the contribution of asean stock markets to systemic risk
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012868270&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40768
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