A study of Stock Mutual Funds Performance: An Application of Data Envelopment Analysis

碩士 === 立德大學 === 科技管理研究所 === 96 === Mutual funds are the main financial tools in contemporary derivatives markets. However, there are various types of mutual funds. How to make an investment more efficient becomes an important issue in our market today. This dissertation takes Stock Mutual Funds as t...

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Bibliographic Details
Main Authors: Hong-Yi Tan, 譚弘毅
Other Authors: none
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/35032358941172792735
Description
Summary:碩士 === 立德大學 === 科技管理研究所 === 96 === Mutual funds are the main financial tools in contemporary derivatives markets. However, there are various types of mutual funds. How to make an investment more efficient becomes an important issue in our market today. This dissertation takes Stock Mutual Funds as the research focus. Based on Stock Performance Evaluation and different time frames: short (one year), medium (three years) and long (five years) periods, they are put into eight groups. The data is from 2007 to 2003. Research samples are 144 datasets of Mutual Funds periodical information. This research aims to investigate the indications which influence the investment decisions and the factor of expenses which affects Mutual Funds performance. This research shows: 1:With different time frames, among all groups of Stock Mutual Funds, only technology, small and medium-sized, and domestic mutual funds show the significant differences. 2. Within the same period of time, among all groups of Stock Mutual Funds, Value mutual fund is the best while technology and domestic mutual funds are worst in performance. 3. The performance assessed through Data Envelopment Analysis shows persistence in stock mutual funds selection. The datasets with three-period of time shows the best result. Meanwhile, it doesn’t show any persistence in the mutual funds of all groups. 4.Among all the expenses factors, the expenses listed on the statement of account shows the most significant negative correlation. The trading expense only shows significance within one-year period. Furthermore, the turnover rate shows significant positive correlation within one-year period and negative correlation within three and five-year period.