Understanding the Liquidity Connectedness in Global Stock Markets

碩士 === 國立中央大學 === 經濟學系 === 104 === Based on the generalized vector autoregressive framework in which forecast error variance decompositions are invariant to variable ordering, we provide both static (full-sample) and dynamic (rolling-sample) analyses for the liquidity connectedness in 12 developed a...

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Main Authors: Chun-Che Chou, 周群哲
Other Authors: Chih-Chiang Hsu
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/42992826989027448999
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spelling ndltd-TW-104NCU053890062017-06-10T04:46:48Z http://ndltd.ncl.edu.tw/handle/42992826989027448999 Understanding the Liquidity Connectedness in Global Stock Markets 全球股市流動性之關聯性分析 Chun-Che Chou 周群哲 碩士 國立中央大學 經濟學系 104 Based on the generalized vector autoregressive framework in which forecast error variance decompositions are invariant to variable ordering, we provide both static (full-sample) and dynamic (rolling-sample) analyses for the liquidity connectedness in 12 developed and 8 emerging stock markets during 2001-2015 period. The liquidity data we use in this paper is constructed from daily price index and turnover and it is calculated by the revised Amihud illiquidity ratio. Our empirical results indicate that the liquidity connectedness seems to be more intensive when economic downturns happen. What’s more, stock markets in developed countries generate higher spillovers and connectedness than stock markets in emerging countries. We also prove that the geographical features and economic developments of a country are crucial factors deciding its level of connectedness to others. It is noteworthy that some empirical outcomes in this paper is consistent with some equity connectedness studies at a certain extent. Chih-Chiang Hsu 徐之強 2016 學位論文 ; thesis 65 en_US
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language en_US
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description 碩士 === 國立中央大學 === 經濟學系 === 104 === Based on the generalized vector autoregressive framework in which forecast error variance decompositions are invariant to variable ordering, we provide both static (full-sample) and dynamic (rolling-sample) analyses for the liquidity connectedness in 12 developed and 8 emerging stock markets during 2001-2015 period. The liquidity data we use in this paper is constructed from daily price index and turnover and it is calculated by the revised Amihud illiquidity ratio. Our empirical results indicate that the liquidity connectedness seems to be more intensive when economic downturns happen. What’s more, stock markets in developed countries generate higher spillovers and connectedness than stock markets in emerging countries. We also prove that the geographical features and economic developments of a country are crucial factors deciding its level of connectedness to others. It is noteworthy that some empirical outcomes in this paper is consistent with some equity connectedness studies at a certain extent.
author2 Chih-Chiang Hsu
author_facet Chih-Chiang Hsu
Chun-Che Chou
周群哲
author Chun-Che Chou
周群哲
spellingShingle Chun-Che Chou
周群哲
Understanding the Liquidity Connectedness in Global Stock Markets
author_sort Chun-Che Chou
title Understanding the Liquidity Connectedness in Global Stock Markets
title_short Understanding the Liquidity Connectedness in Global Stock Markets
title_full Understanding the Liquidity Connectedness in Global Stock Markets
title_fullStr Understanding the Liquidity Connectedness in Global Stock Markets
title_full_unstemmed Understanding the Liquidity Connectedness in Global Stock Markets
title_sort understanding the liquidity connectedness in global stock markets
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/42992826989027448999
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