The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes
碩士 === 國立高雄第一科技大學 === 財務管理所 === 98 === This study uses the extreme trading volume as a proxy for sentiment indicator, and then separates them into high and low sentiment ingredient. Meanwhile, we estimate the extreme trading volume on returns and volatility processes in Europe(include UK, Germany an...
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ndltd-TW-098NKIT53050232016-04-20T04:17:29Z http://ndltd.ncl.edu.tw/handle/86727050641389147505 The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes 極端交易量對不同國家股價指數報酬與波動性行程的影響與比較 Wei-Ling Yang 楊緯綾 碩士 國立高雄第一科技大學 財務管理所 98 This study uses the extreme trading volume as a proxy for sentiment indicator, and then separates them into high and low sentiment ingredient. Meanwhile, we estimate the extreme trading volume on returns and volatility processes in Europe(include UK, Germany and France), Americas(include US and Canada), and Asia(Japan, Korea and Taiwan) through EGARCH(1,1)-M model. Based on the empirical results, high sentiment indicator is negatively correlated with Germany, France, US and Canada, conversely, it is positive correlated with Korea and Taiwan. Nevertheless, low sentiment indicator has positive influence only for UK, and negative influence for Korea and Taiwan. For conditional volatility, it is positively correlated with high sentiment indicator for all countries excluded France. Moreover, for low sentiment indicator, it has positive influence with condition volatility for UK, and negative influence for Canada and Japan. Chun-chou Wu 巫春洲 2010 學位論文 ; thesis 54 zh-TW |
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碩士 === 國立高雄第一科技大學 === 財務管理所 === 98 === This study uses the extreme trading volume as a proxy for sentiment indicator, and then separates them into high and low sentiment ingredient. Meanwhile, we estimate the extreme trading volume on returns and volatility processes in Europe(include UK, Germany and France), Americas(include US and Canada), and Asia(Japan, Korea and Taiwan) through EGARCH(1,1)-M model. Based on the empirical results, high sentiment indicator is negatively correlated with Germany, France, US and Canada, conversely, it is positive correlated with Korea and Taiwan. Nevertheless, low sentiment indicator has positive influence only for UK, and negative influence for Korea and Taiwan. For conditional volatility, it is positively correlated with high sentiment indicator for all countries excluded France. Moreover, for low sentiment indicator, it has positive influence with condition volatility for UK, and negative influence for Canada and Japan.
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author2 |
Chun-chou Wu |
author_facet |
Chun-chou Wu Wei-Ling Yang 楊緯綾 |
author |
Wei-Ling Yang 楊緯綾 |
spellingShingle |
Wei-Ling Yang 楊緯綾 The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes |
author_sort |
Wei-Ling Yang |
title |
The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes |
title_short |
The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes |
title_full |
The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes |
title_fullStr |
The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes |
title_full_unstemmed |
The Effect for The Extreme Trading Volume in Returns and Volatility Processes for Various Stock Indexes |
title_sort |
effect for the extreme trading volume in returns and volatility processes for various stock indexes |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/86727050641389147505 |
work_keys_str_mv |
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