The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund
碩士 === 國立臺灣大學 === 國際企業學研究所 === 104 === Mutual funds is a ideal investment tool for most investors .But, there will not be much time to pay attention to market changes rapidly. Because of a wide range of investment targets, they can''t do diversification. Therefore, how to pick a wo...
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ndltd-TW-104NTU053200292017-05-14T04:32:18Z http://ndltd.ncl.edu.tw/handle/02040034192222078540 The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund 不同風險等級的共同基金規模與績效之相關性探討 Li-Yin Sun 孫立穎 碩士 國立臺灣大學 國際企業學研究所 104 Mutual funds is a ideal investment tool for most investors .But, there will not be much time to pay attention to market changes rapidly. Because of a wide range of investment targets, they can''t do diversification. Therefore, how to pick a worthy long-term investment in mutual funds is the most worthy of further study and discussion topics. Therefore, this study on the Risk Return(RR) use Spearman''s rank correlation coefficient test, find the correlation between the fund size and fund net rate of return, then find the optimum size, in order to pick out the most suitable mutual fund for investors. The results show that five kinds of RR on a long-term monthly observations are significant positive correlation, meaning that with the increase in the fund size, the performance will be better. If only a single mutual funds is observed, mutual funds in RR1 and RR2 are moderately positive correlation, and mutual funds in RR5 are low positive correlation. Mutual funds in RR3 and RR4 are not significant. About the optimum size of the mutual fund, the most optimum size of RR1 and RR2 is in the range from 1 billion to 2 billion, and the most optimum size of RR3, RR4 and RR5 is in range more than 4 billion. 洪茂蔚 2016 學位論文 ; thesis 49 zh-TW |
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碩士 === 國立臺灣大學 === 國際企業學研究所 === 104 === Mutual funds is a ideal investment tool for most investors .But, there will not be much time to pay attention to market changes rapidly. Because of a wide range of investment targets, they can''t do diversification. Therefore, how to pick a worthy long-term investment in mutual funds is the most worthy of further study and discussion topics.
Therefore, this study on the Risk Return(RR) use Spearman''s rank correlation coefficient test, find the correlation between the fund size and fund net rate of return, then find the optimum size, in order to pick out the most suitable mutual fund for investors.
The results show that five kinds of RR on a long-term monthly observations are significant positive correlation, meaning that with the increase in the fund size, the performance will be better. If only a single mutual funds is observed, mutual funds in RR1 and RR2 are moderately positive correlation, and mutual funds in RR5 are low positive correlation. Mutual funds in RR3 and RR4 are not significant. About the optimum size of the mutual fund, the most optimum size of RR1 and RR2 is in the range from 1 billion to 2 billion, and the most optimum size of RR3, RR4 and RR5 is in range more than 4 billion.
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洪茂蔚 |
author_facet |
洪茂蔚 Li-Yin Sun 孫立穎 |
author |
Li-Yin Sun 孫立穎 |
spellingShingle |
Li-Yin Sun 孫立穎 The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund |
author_sort |
Li-Yin Sun |
title |
The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund |
title_short |
The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund |
title_full |
The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund |
title_fullStr |
The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund |
title_full_unstemmed |
The Study on the Relationship between Performance and Size of Different Risk Return Mutual Fund |
title_sort |
study on the relationship between performance and size of different risk return mutual fund |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/02040034192222078540 |
work_keys_str_mv |
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