A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market
碩士 === 國立中山大學 === 財務管理學系研究所 === 99 === While quantitative investment management has been extensively investigated and many models built in order to provide investment suggestions through quantitative analysis, the combination of quantitative and qualitative analysis is relatively unexplored. The obj...
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ndltd-TW-099NSYS53050172015-10-19T04:03:18Z http://ndltd.ncl.edu.tw/handle/48432728485404697686 A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market 多因子報酬多空模型—以台股市場為例 Shao-yu Wang 王紹宇 碩士 國立中山大學 財務管理學系研究所 99 While quantitative investment management has been extensively investigated and many models built in order to provide investment suggestions through quantitative analysis, the combination of quantitative and qualitative analysis is relatively unexplored. The objective of this study is to construct a quantitative stock selection model based on the standard model built by Hsu et al. (2011) which could improve the stability of descriptor and factor structures and the combinability of quantitative and qualitative analysis. The research focuses on the structure of effective factors and descriptors when faced with different types of market trends. Furthermore, we test the performance of a Market Trend-Based Alpha Model (MTB alpha model) and compare with the standard alpha model. The strategy of portfolio construction is a TAIEX enhanced index fund. We find the enhanced index portfolio constructed by the MTB model produces an information ratio of 0.72, which is much higher than the standard model ratio of 0.41. This finding suggests that a MTB model could not only improve performance but also make the descriptor and factor structures more stable and much more easily for managers’ adjusting. Yih Jeng 鄭義 2011 學位論文 ; thesis 83 en_US |
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碩士 === 國立中山大學 === 財務管理學系研究所 === 99 === While quantitative investment management has been extensively investigated and many models built in order to provide investment suggestions through quantitative analysis, the combination of quantitative and qualitative analysis is relatively unexplored. The objective of this study is to construct a quantitative stock selection model based on the standard model built by Hsu et al. (2011) which could improve the stability of descriptor and factor structures and the combinability of quantitative and qualitative analysis. The research focuses on the structure of effective factors and descriptors when faced with different types of market trends.
Furthermore, we test the performance of a Market Trend-Based Alpha Model (MTB alpha model) and compare with the standard alpha model. The strategy of portfolio construction is a TAIEX enhanced index fund.
We find the enhanced index portfolio constructed by the MTB model produces an information ratio of 0.72, which is much higher than the standard model ratio of 0.41. This finding suggests that a MTB model could not only improve performance but also make the descriptor and factor structures more stable and much more easily for managers’ adjusting.
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Yih Jeng |
author_facet |
Yih Jeng Shao-yu Wang 王紹宇 |
author |
Shao-yu Wang 王紹宇 |
spellingShingle |
Shao-yu Wang 王紹宇 A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market |
author_sort |
Shao-yu Wang |
title |
A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market |
title_short |
A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market |
title_full |
A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market |
title_fullStr |
A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market |
title_full_unstemmed |
A Market Trend-Based Multi-Factor Alpha Model— withApplication in Taiwan Market |
title_sort |
market trend-based multi-factor alpha model— withapplication in taiwan market |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/48432728485404697686 |
work_keys_str_mv |
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