Modeling dependence structure of evidence from ASEAN-5 stock market patterns

© 2020, Universita Putra Malaysia. This paper was proposed to focus on the dependence structure of economics cycles (economic booms and recessions) among ASEAN-5 stock indexes which were the Philippines stock market (The Philippines Composite index: PSEi), Indonesia Stock market (Jakarta Composite I...

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Main Authors: Pattamon Pongkongkaew, Satawat Wannapan, Prasert Chaitip, Chukiat Chaiboonsri
Format: Journal
Published: 2020
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/70286
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spelling th-cmuir.6653943832-702862020-10-14T08:32:09Z Modeling dependence structure of evidence from ASEAN-5 stock market patterns Pattamon Pongkongkaew Satawat Wannapan Prasert Chaitip Chukiat Chaiboonsri Business, Management and Accounting Economics, Econometrics and Finance © 2020, Universita Putra Malaysia. This paper was proposed to focus on the dependence structure of economics cycles (economic booms and recessions) among ASEAN-5 stock indexes which were the Philippines stock market (The Philippines Composite index: PSEi), Indonesia Stock market (Jakarta Composite Index: JCI), Malaysia stock market (FTSE Bursa Malaysia KLCI: FTSE), Thailand stock market (SET Index: SET) and Singapore Stock Market (The Straits Time Index: SGX). The data was transformed to be standardized residuals and observed as monthly samples during 2001 to 2018. Technically, Markov Switching Bayesian Vector Autoregressive model (MSBVAR) and CD-Vine Copula approaches were applied to do econometrical estimations in this study. The MSBVAR model was used to determine regime switching of the data set. For CD-Vine copula models, they were employed to computationally seek dependence structures. To exemplify each state of regimes, the Elliptical copula model was chosen to structurally define the relation among ASEAN-5 stocks. Empirically, the result represented the dynamics co-movement of each stock. CD-Vine copula trees showed that the PSEi index and JCI contained the strongly structural dependence in economic booming situations of the pre-crisis period. On the other hand, in the post-crisis period, PSEi had the strongly dependence connection with FTSE Bursa Malaysia. Thus, capital flows between Philippines and Indonesia were financially changed from flowing between Philippines and Indonesia to Philippines and Malaysia after crises. However, in the case of economic recessions, the result showed that there was the independent structure among ASEAN-5 stocks, both in pre-crisis and post crisis. 2020-10-14T08:27:09Z 2020-10-14T08:27:09Z 2020-04-01 Journal 1823836X 2-s2.0-85084754494 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084754494&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70286
institution Chiang Mai University
building Chiang Mai University Library
continent Asia
country Thailand
Thailand
content_provider Chiang Mai University Library
collection CMU Intellectual Repository
topic Business, Management and Accounting
Economics, Econometrics and Finance
spellingShingle Business, Management and Accounting
Economics, Econometrics and Finance
Pattamon Pongkongkaew
Satawat Wannapan
Prasert Chaitip
Chukiat Chaiboonsri
Modeling dependence structure of evidence from ASEAN-5 stock market patterns
description © 2020, Universita Putra Malaysia. This paper was proposed to focus on the dependence structure of economics cycles (economic booms and recessions) among ASEAN-5 stock indexes which were the Philippines stock market (The Philippines Composite index: PSEi), Indonesia Stock market (Jakarta Composite Index: JCI), Malaysia stock market (FTSE Bursa Malaysia KLCI: FTSE), Thailand stock market (SET Index: SET) and Singapore Stock Market (The Straits Time Index: SGX). The data was transformed to be standardized residuals and observed as monthly samples during 2001 to 2018. Technically, Markov Switching Bayesian Vector Autoregressive model (MSBVAR) and CD-Vine Copula approaches were applied to do econometrical estimations in this study. The MSBVAR model was used to determine regime switching of the data set. For CD-Vine copula models, they were employed to computationally seek dependence structures. To exemplify each state of regimes, the Elliptical copula model was chosen to structurally define the relation among ASEAN-5 stocks. Empirically, the result represented the dynamics co-movement of each stock. CD-Vine copula trees showed that the PSEi index and JCI contained the strongly structural dependence in economic booming situations of the pre-crisis period. On the other hand, in the post-crisis period, PSEi had the strongly dependence connection with FTSE Bursa Malaysia. Thus, capital flows between Philippines and Indonesia were financially changed from flowing between Philippines and Indonesia to Philippines and Malaysia after crises. However, in the case of economic recessions, the result showed that there was the independent structure among ASEAN-5 stocks, both in pre-crisis and post crisis.
format Journal
author Pattamon Pongkongkaew
Satawat Wannapan
Prasert Chaitip
Chukiat Chaiboonsri
author_facet Pattamon Pongkongkaew
Satawat Wannapan
Prasert Chaitip
Chukiat Chaiboonsri
author_sort Pattamon Pongkongkaew
title Modeling dependence structure of evidence from ASEAN-5 stock market patterns
title_short Modeling dependence structure of evidence from ASEAN-5 stock market patterns
title_full Modeling dependence structure of evidence from ASEAN-5 stock market patterns
title_fullStr Modeling dependence structure of evidence from ASEAN-5 stock market patterns
title_full_unstemmed Modeling dependence structure of evidence from ASEAN-5 stock market patterns
title_sort modeling dependence structure of evidence from asean-5 stock market patterns
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084754494&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/70286
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