The performance of Enhanced Return Index Fund
博士 === 國立中正大學 === 財務金融所 === 95 === Parte.I This paper analyzes the relative predictability of alternative S&P 500 index funds. Our data contain enhanced return index funds and traditional non-enhanced index funds. Results show that enhanced return index funds have higher predictability than no...
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ndltd-TW-095CCU053040512015-10-13T14:08:36Z http://ndltd.ncl.edu.tw/handle/97812175443219294295 The performance of Enhanced Return Index Fund 增強型指數基金績效 Yueh-Chung Chu 朱岳中 博士 國立中正大學 財務金融所 95 Parte.I This paper analyzes the relative predictability of alternative S&P 500 index funds. Our data contain enhanced return index funds and traditional non-enhanced index funds. Results show that enhanced return index funds have higher predictability than non-enhanced index funds. We then generate out-of-sample forecasts and apply trading strategies to further analyze the extent and economic significance of predictability. The additional tests show existence of trading strategies using enhanced index funds that can outperform the market even after accounting for transaction costs. Overall, results indicate that investors can benefit by utilizing trading strategies that exploit the higher predictability of enhanced return index funds over non-enhanced index funds and, thus, enhanced return index funds should not be overlooked when investors consider investing in index funds. Part II This paper further analyzes the performance of the enhanced return index funds over the January 1996 to March 2007 period by a new bootstrap statistical technique. We apply Carhart (1997) unconditional and Ferson and Schadt (1996) conditional four-factor regression model and Kosowski, Timmermann and Wermers (2006) bootstrap technique to examine the performance of the funds. The results show the managers of enhanced-return index funds have significant pick stock skill. An-Sing Chen 陳安行 2007 學位論文 ; thesis 60 en_US |
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博士 === 國立中正大學 === 財務金融所 === 95 === Parte.I
This paper analyzes the relative predictability of alternative S&P 500 index funds. Our data contain enhanced return index funds and traditional non-enhanced index funds. Results show that enhanced return index funds have higher predictability than non-enhanced index funds. We then generate out-of-sample forecasts and apply trading strategies to further analyze the extent and economic significance of predictability. The additional tests show existence of trading strategies using enhanced index funds that can outperform the market even after accounting for transaction costs. Overall, results indicate that investors can benefit by utilizing trading strategies that exploit the higher predictability of enhanced return index funds over non-enhanced index funds and, thus, enhanced return index funds should not be overlooked when investors consider investing in index funds.
Part II
This paper further analyzes the performance of the enhanced return index funds over the January 1996 to March 2007 period by a new bootstrap statistical technique. We apply Carhart (1997) unconditional and Ferson and Schadt (1996) conditional four-factor regression model and Kosowski, Timmermann and Wermers (2006) bootstrap technique to examine the performance of the funds. The results show the managers of enhanced-return index funds have significant pick stock skill.
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An-Sing Chen |
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An-Sing Chen Yueh-Chung Chu 朱岳中 |
author |
Yueh-Chung Chu 朱岳中 |
spellingShingle |
Yueh-Chung Chu 朱岳中 The performance of Enhanced Return Index Fund |
author_sort |
Yueh-Chung Chu |
title |
The performance of Enhanced Return Index Fund |
title_short |
The performance of Enhanced Return Index Fund |
title_full |
The performance of Enhanced Return Index Fund |
title_fullStr |
The performance of Enhanced Return Index Fund |
title_full_unstemmed |
The performance of Enhanced Return Index Fund |
title_sort |
performance of enhanced return index fund |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/97812175443219294295 |
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