On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets
© 2016 by the Mathematical Association of Thailand. All rights reserved. This paper proposes to use the concept of time-varying copulas in probability theory as an appropriate mathematical modeling tool for investigating an important problem in economics, namely the co-movement of stock markets as w...
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th-cmuir.6653943832-559452018-09-05T03:06:15Z On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets Panisara Phochanachan Jianxu Liu Songsak Sriboonchitta Mathematics © 2016 by the Mathematical Association of Thailand. All rights reserved. This paper proposes to use the concept of time-varying copulas in probability theory as an appropriate mathematical modeling tool for investigating an important problem in economics, namely the co-movement of stock markets as well as optimal portfolio constructions on them. In the sense of expected shortfall, a coherent risk measure widely used in risk management of financial markets, we show that our time-varying copula models for GARCH perform better than the conventional DCC-GARCH model. We exhibit also various advantages of this approach in investment decisions. An application to G7 stock markets is given. 2018-09-05T03:06:15Z 2018-09-05T03:06:15Z 2016-08-01 Journal 16860209 2-s2.0-84985955348 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84985955348&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55945 |
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Mathematics Panisara Phochanachan Jianxu Liu Songsak Sriboonchitta On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets |
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© 2016 by the Mathematical Association of Thailand. All rights reserved. This paper proposes to use the concept of time-varying copulas in probability theory as an appropriate mathematical modeling tool for investigating an important problem in economics, namely the co-movement of stock markets as well as optimal portfolio constructions on them. In the sense of expected shortfall, a coherent risk measure widely used in risk management of financial markets, we show that our time-varying copula models for GARCH perform better than the conventional DCC-GARCH model. We exhibit also various advantages of this approach in investment decisions. An application to G7 stock markets is given. |
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Panisara Phochanachan Jianxu Liu Songsak Sriboonchitta |
author_facet |
Panisara Phochanachan Jianxu Liu Songsak Sriboonchitta |
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Panisara Phochanachan |
title |
On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets |
title_short |
On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets |
title_full |
On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets |
title_fullStr |
On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets |
title_full_unstemmed |
On mathematical modeling and analysis of co-movement and optimal portfolios of stock markets |
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on mathematical modeling and analysis of co-movement and optimal portfolios of stock markets |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84985955348&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55945 |
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