The Prediction of Deletion of MSCI Taiwan Index
碩士 === 國立中央大學 === 財務金融學系 === 104 === The previous studies all pointed out that the deleted stocks would have significant negative abnormal returns after the reconstitution of the announcement of MSCI Indices. Stocks deleted from MSCI Taiwan Index gaped down at open price, which is very hard to earn...
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ndltd-TW-104NCU053040072017-06-25T04:38:17Z http://ndltd.ncl.edu.tw/handle/65594728758115922300 The Prediction of Deletion of MSCI Taiwan Index 摩根台灣指數剔除預測之研究 Bo-syun Peng 彭柏勳 碩士 國立中央大學 財務金融學系 104 The previous studies all pointed out that the deleted stocks would have significant negative abnormal returns after the reconstitution of the announcement of MSCI Indices. Stocks deleted from MSCI Taiwan Index gaped down at open price, which is very hard to earn that kind of return. In the sample period from January 2008 to February 2016, we find that the market value is the main cause of deletion. Through the MSCI Global Investable Market Indices Methodology, we can simulate the methodology and predict the deletion list of next reconstitution, which has 64.13 percent of precise rate by predicting the stock which will be deleted and has 99.61 percent of precise rate by predicting the stock which won’t be deleted. Investors can use that method to predict the deletion list in the next reconstitution and sell short the stock to improve the performance of their portfolios. Cheng-yi Shiu 徐政義 2016 學位論文 ; thesis 60 zh-TW |
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碩士 === 國立中央大學 === 財務金融學系 === 104 === The previous studies all pointed out that the deleted stocks would have significant negative abnormal returns after the reconstitution of the announcement of MSCI Indices. Stocks deleted from MSCI Taiwan Index gaped down at open price, which is very hard to earn that kind of return. In the sample period from January 2008 to February 2016, we find that the market value is the main cause of deletion. Through the MSCI Global Investable Market Indices Methodology, we can simulate the methodology and predict the deletion list of next reconstitution, which has 64.13 percent of precise rate by predicting the stock which will be deleted and has 99.61 percent of precise rate by predicting the stock which won’t be deleted. Investors can use that method to predict the deletion list in the next reconstitution and sell short the stock to improve the performance of their portfolios.
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author2 |
Cheng-yi Shiu |
author_facet |
Cheng-yi Shiu Bo-syun Peng 彭柏勳 |
author |
Bo-syun Peng 彭柏勳 |
spellingShingle |
Bo-syun Peng 彭柏勳 The Prediction of Deletion of MSCI Taiwan Index |
author_sort |
Bo-syun Peng |
title |
The Prediction of Deletion of MSCI Taiwan Index |
title_short |
The Prediction of Deletion of MSCI Taiwan Index |
title_full |
The Prediction of Deletion of MSCI Taiwan Index |
title_fullStr |
The Prediction of Deletion of MSCI Taiwan Index |
title_full_unstemmed |
The Prediction of Deletion of MSCI Taiwan Index |
title_sort |
prediction of deletion of msci taiwan index |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/65594728758115922300 |
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