The Performance Analysis of Random Portfolio and Mutual Funds
碩士 === 國立雲林科技大學 === 財務金融系 === 102 === This study examines the performance and differences between portfolios and equity funds. The portfolios are constructed by randomly selected 100 companies which have a better rate of return in the past. We use rate of return, standard deviation, Sharpe ratio and...
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ndltd-TW-102YUNT03040282016-02-21T04:21:12Z http://ndltd.ncl.edu.tw/handle/02967123949085548230 The Performance Analysis of Random Portfolio and Mutual Funds 隨機投資組合與共同基金績效分析 Yu-Bai Huang 黃宇白 碩士 國立雲林科技大學 財務金融系 102 This study examines the performance and differences between portfolios and equity funds. The portfolios are constructed by randomly selected 100 companies which have a better rate of return in the past. We use rate of return, standard deviation, Sharpe ratio and Jensen index to assess the performance of equity funds and portfolios. The investment periods of a year, two years and three years to investigate the performance of portfolios and each fund from January 1999 to December 2013. By empirical analysis, we compare the equal-weighted method, value-weighted method and MV model. We found that regardless of the investment period, for the rate of return, the best portfolio is MV model. For the standard deviation, the best portfolio is an equal-weighted method. For the Sharp ratio, it is the value-weighted method. And for the Jensen index, it is the MV model. To make a comparison between performance of funds and portfolios, we found that the longer the investment period, portfolios are greater than a good probability sample funds for the rate of return, Sharp ratio and Jensen index. But the standard deviation, the volatility of the portfolio returns most of the sample is greater than the level of the fund. We hope to expose the performance of portfolios through historical data to provide investment strategies to investors' reference. Shin-Hung Lin 林信宏 2014 學位論文 ; thesis 76 zh-TW |
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碩士 === 國立雲林科技大學 === 財務金融系 === 102 === This study examines the performance and differences between portfolios and equity funds. The portfolios are constructed by randomly selected 100 companies which have a better rate of return in the past. We use rate of return, standard deviation, Sharpe ratio and Jensen index to assess the performance of equity funds and portfolios. The investment periods of a year, two years and three years to investigate the performance of portfolios and each fund from January 1999 to December 2013. By empirical analysis, we compare the equal-weighted method, value-weighted method and MV model. We found that regardless of the investment period, for the rate of return, the best portfolio is MV model. For the standard deviation, the best portfolio is an equal-weighted method. For the Sharp ratio, it is the value-weighted method. And for the Jensen index, it is the MV model. To make a comparison between performance of funds and portfolios, we found that the longer the investment period, portfolios are greater than a good probability sample funds for the rate of return, Sharp ratio and Jensen index. But the standard deviation, the volatility of the portfolio returns most of the sample is greater than the level of the fund. We hope to expose the performance of portfolios through historical data to provide investment strategies to investors' reference.
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Shin-Hung Lin |
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Shin-Hung Lin Yu-Bai Huang 黃宇白 |
author |
Yu-Bai Huang 黃宇白 |
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Yu-Bai Huang 黃宇白 The Performance Analysis of Random Portfolio and Mutual Funds |
author_sort |
Yu-Bai Huang |
title |
The Performance Analysis of Random Portfolio and Mutual Funds |
title_short |
The Performance Analysis of Random Portfolio and Mutual Funds |
title_full |
The Performance Analysis of Random Portfolio and Mutual Funds |
title_fullStr |
The Performance Analysis of Random Portfolio and Mutual Funds |
title_full_unstemmed |
The Performance Analysis of Random Portfolio and Mutual Funds |
title_sort |
performance analysis of random portfolio and mutual funds |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/02967123949085548230 |
work_keys_str_mv |
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