Multiple Structural Change in Volatility of China Stock Markets

碩士 === 正修科技大學 === 財務金融研究所 === 101 === In this paper, we apply Bai and Perron (1988, 2003) ordinary least squares model to test structural change in return and volatility in China stock markets which including A Stock Index、B Stock Index and Synthesis Index of Shanghai and Shenzhen markets, we also u...

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Main Authors: Hsu,Yu-Chien, 徐于茜
Other Authors: Po,Wan-Chen
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/85017366393535515889
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spelling ndltd-TW-101CSU003040022016-07-31T04:21:07Z http://ndltd.ncl.edu.tw/handle/85017366393535515889 Multiple Structural Change in Volatility of China Stock Markets 大陸股票市場波動多重結構性改變之研究 Hsu,Yu-Chien 徐于茜 碩士 正修科技大學 財務金融研究所 101 In this paper, we apply Bai and Perron (1988, 2003) ordinary least squares model to test structural change in return and volatility in China stock markets which including A Stock Index、B Stock Index and Synthesis Index of Shanghai and Shenzhen markets, we also use Sup F、UD max、WD max、Sup F(L+1|L) and Likelihood ratio test to investigate these markets multiple structural change and break points in return and volatility. Moreover, we employ the GARCH model to capture the volatility persistent effect. The study find that Shanghai A Stock Index、Shanghai Synthesis Index、Shenzhen A Stock Index and Shenzhen Synthesis Index has three structural changes, Shanghai B Stock Index and Shenzhen B Stock Index has four structural changes. This result suggests that multiple structural change in China stock markets caused by important events. Po,Wan-Chen 柏婉貞 2013 學位論文 ; thesis 74 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 正修科技大學 === 財務金融研究所 === 101 === In this paper, we apply Bai and Perron (1988, 2003) ordinary least squares model to test structural change in return and volatility in China stock markets which including A Stock Index、B Stock Index and Synthesis Index of Shanghai and Shenzhen markets, we also use Sup F、UD max、WD max、Sup F(L+1|L) and Likelihood ratio test to investigate these markets multiple structural change and break points in return and volatility. Moreover, we employ the GARCH model to capture the volatility persistent effect. The study find that Shanghai A Stock Index、Shanghai Synthesis Index、Shenzhen A Stock Index and Shenzhen Synthesis Index has three structural changes, Shanghai B Stock Index and Shenzhen B Stock Index has four structural changes. This result suggests that multiple structural change in China stock markets caused by important events.
author2 Po,Wan-Chen
author_facet Po,Wan-Chen
Hsu,Yu-Chien
徐于茜
author Hsu,Yu-Chien
徐于茜
spellingShingle Hsu,Yu-Chien
徐于茜
Multiple Structural Change in Volatility of China Stock Markets
author_sort Hsu,Yu-Chien
title Multiple Structural Change in Volatility of China Stock Markets
title_short Multiple Structural Change in Volatility of China Stock Markets
title_full Multiple Structural Change in Volatility of China Stock Markets
title_fullStr Multiple Structural Change in Volatility of China Stock Markets
title_full_unstemmed Multiple Structural Change in Volatility of China Stock Markets
title_sort multiple structural change in volatility of china stock markets
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/85017366393535515889
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