International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach
碩士 === 國立臺灣大學 === 經濟學研究所 === 88 === This paper make use of Multivareate FIGARCH-in-Mean Model to be empirical model of International CAPM with constant and time-varying price of risk . FIGARCH model was chacterizied for long-run dependent of volaility by a new paramter d ,which bounded between 0 and...
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ndltd-TW-088NTU023890112016-01-29T04:18:54Z http://ndltd.ncl.edu.tw/handle/73502947232440339323 International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach 國際資本資產定價模型:多變量FIGARCH-in-Mean模型的應用 Chung-Ying Yeh 葉宗穎 碩士 國立臺灣大學 經濟學研究所 88 This paper make use of Multivareate FIGARCH-in-Mean Model to be empirical model of International CAPM with constant and time-varying price of risk . FIGARCH model was chacterizied for long-run dependent of volaility by a new paramter d ,which bounded between 0 and 1 ,control the strength of momery . Empirical evidece show us ,we use MSCI equity index data of four capitalized countries -US,UK,Germary and Janpan, volatilities of US,UK and world index were long-momery process (or Fractional Integrated GARCH process) ,especially volatility of UK even represented IGARCH ! Co-movement behavior between US,UK GM and world market were strong and closed ,furthermore , Multivariate FIGARCH-in-Mean is better empirical model than Multivariate GARCH-in-Mean due to comparasion of two empirical outcomes . Ching-Fan Chung 鍾經樊 2000 學位論文 ; thesis 31 zh-TW |
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碩士 === 國立臺灣大學 === 經濟學研究所 === 88 === This paper make use of Multivareate FIGARCH-in-Mean Model to be empirical model of International CAPM with constant and time-varying price of risk . FIGARCH model was chacterizied for long-run dependent of volaility by a new paramter d ,which bounded between 0 and 1 ,control the strength of momery . Empirical evidece show us ,we use MSCI equity index data of four capitalized countries -US,UK,Germary and Janpan, volatilities of US,UK and world index were long-momery process (or Fractional Integrated GARCH process) ,especially volatility of UK even represented IGARCH ! Co-movement behavior between US,UK GM and world market were strong and closed ,furthermore , Multivariate FIGARCH-in-Mean is better empirical model than Multivariate GARCH-in-Mean due to comparasion of two empirical outcomes .
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Ching-Fan Chung |
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Ching-Fan Chung Chung-Ying Yeh 葉宗穎 |
author |
Chung-Ying Yeh 葉宗穎 |
spellingShingle |
Chung-Ying Yeh 葉宗穎 International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach |
author_sort |
Chung-Ying Yeh |
title |
International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach |
title_short |
International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach |
title_full |
International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach |
title_fullStr |
International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach |
title_full_unstemmed |
International Capital Asset Pricing Model :Multivariate FIGARCH-in-Mean approach |
title_sort |
international capital asset pricing model :multivariate figarch-in-mean approach |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/73502947232440339323 |
work_keys_str_mv |
AT chungyingyeh internationalcapitalassetpricingmodelmultivariatefigarchinmeanapproach AT yèzōngyǐng internationalcapitalassetpricingmodelmultivariatefigarchinmeanapproach AT chungyingyeh guójìzīběnzīchǎndìngjiàmóxíngduōbiànliàngfigarchinmeanmóxíngdeyīngyòng AT yèzōngyǐng guójìzīběnzīchǎndìngjiàmóxíngduōbiànliàngfigarchinmeanmóxíngdeyīngyòng |
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1718167933678518272 |