Portfolio optimization of energy commodity futures returns: Vine copula approach
© Serials Publications Pvt.Ltd. The objectives of this study are to construct the optimum energy commodity portfolio investment by using Vine-copula GARCH, and to quantify their risk with Value-at-Risk and expected shortfall. The 1,979 energy commodity futures prices from 7 energy commodity products...
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th-cmuir.6653943832-465012018-04-25T07:30:13Z Portfolio optimization of energy commodity futures returns: Vine copula approach Payap Tarkhamtham Songsak Sriboonchitta Roengchai Tansuchat Economics, Econometrics and Finance Agricultural and Biological Sciences © Serials Publications Pvt.Ltd. The objectives of this study are to construct the optimum energy commodity portfolio investment by using Vine-copula GARCH, and to quantify their risk with Value-at-Risk and expected shortfall. The 1,979 energy commodity futures prices from 7 energy commodity products, namely crude oil, natural gas, gasoline, heating oil, diesel, ethanol, and gasoil, were collected from 1 September 2009 to 31 March 2017, traded in the New York Mercantile Exchange (NYMEX). The empirical results showed that every fitted conditional volatility models are ARMA-EGARCH with student t, and skew student t distribution, and the appropriate vine-copula model for dependence structure among three types of vine copulas is C-vine. The estimated VaR and ES of the portfolio in period t+1at 10%, 5%, and 1% level are-2.33,-3.12,-4.81 and-3.54,-4.40,-3.54 respectively. The optimum portfolio investment result suggests to focuses on the diesel, ethanol, and gas oil investment due to high investment proportion, whereas crude oil and gasoline have little investment proportion. 2018-04-25T06:55:50Z 2018-04-25T06:55:50Z 2017-01-01 Journal 09727302 2-s2.0-85019592895 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85019592895&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46501 |
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Economics, Econometrics and Finance Agricultural and Biological Sciences Payap Tarkhamtham Songsak Sriboonchitta Roengchai Tansuchat Portfolio optimization of energy commodity futures returns: Vine copula approach |
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© Serials Publications Pvt.Ltd. The objectives of this study are to construct the optimum energy commodity portfolio investment by using Vine-copula GARCH, and to quantify their risk with Value-at-Risk and expected shortfall. The 1,979 energy commodity futures prices from 7 energy commodity products, namely crude oil, natural gas, gasoline, heating oil, diesel, ethanol, and gasoil, were collected from 1 September 2009 to 31 March 2017, traded in the New York Mercantile Exchange (NYMEX). The empirical results showed that every fitted conditional volatility models are ARMA-EGARCH with student t, and skew student t distribution, and the appropriate vine-copula model for dependence structure among three types of vine copulas is C-vine. The estimated VaR and ES of the portfolio in period t+1at 10%, 5%, and 1% level are-2.33,-3.12,-4.81 and-3.54,-4.40,-3.54 respectively. The optimum portfolio investment result suggests to focuses on the diesel, ethanol, and gas oil investment due to high investment proportion, whereas crude oil and gasoline have little investment proportion. |
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Payap Tarkhamtham Songsak Sriboonchitta Roengchai Tansuchat |
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Payap Tarkhamtham Songsak Sriboonchitta Roengchai Tansuchat |
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Payap Tarkhamtham |
title |
Portfolio optimization of energy commodity futures returns: Vine copula approach |
title_short |
Portfolio optimization of energy commodity futures returns: Vine copula approach |
title_full |
Portfolio optimization of energy commodity futures returns: Vine copula approach |
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Portfolio optimization of energy commodity futures returns: Vine copula approach |
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Portfolio optimization of energy commodity futures returns: Vine copula approach |
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portfolio optimization of energy commodity futures returns: vine copula approach |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85019592895&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46501 |
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