Value spread as a predictor of stock returns : evidence from China.

The objective of this study is to investigate the predictive power of the value spread for stock returns. We conducted the study using China Stock Market & Accounting Research Database (CSMAR) data for the Chinese equity markets. We also analysed the predictive abilities of two other related var...

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Main Authors: Woon, Wei Xiang., Wong, Shixiang., Sim, Ferarina Yun Rong.
Other Authors: Chang Xin
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/44194
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-441942023-05-19T07:23:13Z Value spread as a predictor of stock returns : evidence from China. Woon, Wei Xiang. Wong, Shixiang. Sim, Ferarina Yun Rong. Chang Xin Nanyang Business School DRNTU::Business::Finance::Portfolio management The objective of this study is to investigate the predictive power of the value spread for stock returns. We conducted the study using China Stock Market & Accounting Research Database (CSMAR) data for the Chinese equity markets. We also analysed the predictive abilities of two other related variables: book-to-market spread and market-to-book spread. Our results are robust and reflect that the two variables have significant predictive powers. The book-to-market spread and the market-to-book predict returns in opposite signs. Our findings reveal that the value spread is a weak predictor of aggregate stock returns. Furthermore, its unstable beta seems to agree with Liu and Zhang’s (2008) conclusion that the value spread possesses acyclic properties. Taken together, we found that the book-to-market spread and the market-to-book spread are more useful in predicting stock returns as compared to the value spread. BUSINESS 2011-05-31T01:01:56Z 2011-05-31T01:01:56Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44194 en Nanyang Technological University 64 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business::Finance::Portfolio management
spellingShingle DRNTU::Business::Finance::Portfolio management
Woon, Wei Xiang.
Wong, Shixiang.
Sim, Ferarina Yun Rong.
Value spread as a predictor of stock returns : evidence from China.
description The objective of this study is to investigate the predictive power of the value spread for stock returns. We conducted the study using China Stock Market & Accounting Research Database (CSMAR) data for the Chinese equity markets. We also analysed the predictive abilities of two other related variables: book-to-market spread and market-to-book spread. Our results are robust and reflect that the two variables have significant predictive powers. The book-to-market spread and the market-to-book predict returns in opposite signs. Our findings reveal that the value spread is a weak predictor of aggregate stock returns. Furthermore, its unstable beta seems to agree with Liu and Zhang’s (2008) conclusion that the value spread possesses acyclic properties. Taken together, we found that the book-to-market spread and the market-to-book spread are more useful in predicting stock returns as compared to the value spread.
author2 Chang Xin
author_facet Chang Xin
Woon, Wei Xiang.
Wong, Shixiang.
Sim, Ferarina Yun Rong.
format Final Year Project
author Woon, Wei Xiang.
Wong, Shixiang.
Sim, Ferarina Yun Rong.
author_sort Woon, Wei Xiang.
title Value spread as a predictor of stock returns : evidence from China.
title_short Value spread as a predictor of stock returns : evidence from China.
title_full Value spread as a predictor of stock returns : evidence from China.
title_fullStr Value spread as a predictor of stock returns : evidence from China.
title_full_unstemmed Value spread as a predictor of stock returns : evidence from China.
title_sort value spread as a predictor of stock returns : evidence from china.
publishDate 2011
url http://hdl.handle.net/10356/44194
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