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研究生:王怡婷
研究生(外文):Wang, Yi-Ting
論文名稱:台灣地區共同基金績效之效率分析
論文名稱(外文):Performance Analyses of Mutual Fund in Taiwan
指導教授:胡均立胡均立引用關係
指導教授(外文):Hu, Jin-Li
學位類別:碩士
校院名稱:國立交通大學
系所名稱:經營管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:英文
論文頁數:37
中文關鍵詞:資料包絡分析法基金績效經理人特質基金特質
外文關鍵詞:Data envelopment analysisTobit regressionMutual fund performanceManager performance
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  • 被引用被引用:3
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本研究使用四階段資料包絡分析法分析2006年到2010年六十家台灣地區共同基金的效率。除了基金本身所具有的特質外,基金經理人的特質亦會影響基金的效率。本研究之模型係採用基金年報酬率為產出變數,基金費用率和基金淨值之年化標準差兩個投入變數。在第一階段使用DEA模型估計各基金之效率。第二階段透過Tobit複回歸模型來估計各種環境變數,是否會對理論投入值與實際投入值所產生的差額數值產生顯著性的影響。第三階段使用在第二階段中所得到的估計參數來調整總投入差額。最後一個階段利用經過調整後之投入值計算基金之效率值。在本研究結果顯示,女性經理人較男性經理人的績效表現好,資歷長的基金經理人所操作的基金績效並不會比資歷短的經理人來得好。
This thesis applies a four-stage data envelopment analysis (DEA) approach proposed by Fried et al. (1999), in order to study the operational environment-adjusted efficiency of sixty mutual funds in Taiwan from 2006 to 2010. In addition to the characteristics of funds, the characteristics of managers also significantly affect performance of mutual funds. There are one output (actual annual return) and two inputs (expense ratio and standard deviation) in the variable-returns-to-scale (VRS) DEA model. In the first stage, the VRS DEA is used to compute the performance of each fund. In the second stage, the Tobit regression is applied to adjust the inputs by excluding effects caused by environmental factors. In the third stage, the parameter estimated from the second stage is used to predict the total input slacks. In the last stage, the DEA model is run with slack-adjusted data in order to find out the performance of fund. The empirical results reveal that female manager will have lower risk and better performance than male mangers. Experienced managers may not perform better than new managers.
Content
Abstract (in Chinese) i
Abstract (in English) ii
Acknowledgement iii
Content iv
List of Tables v
List of Figures v
1. Introduction 1
1.1 Research motivation 1
1.2 Research purposes 2
1.3 Research objective 2
2.Literature review 4
2.1 Literature review of Data Envelopment Analysis approach 4
2.2 Literature review of mutual fund efficiency around the world 4
3.Methodology 8
3.1 CRS model of Data Envelopment Analysis 8
3.2 VRS model of Data Envelopment Analysis 9
3.3 Four-Stage DEA approach 10
Stage 1 : Using DEA for evaluating fund performance 10
Stage 2 : Decomposing fund performance by Tobit regression 11
Stage 3 : Adjusting output 11
Stage 4 : Re-evaluating DEA with adjusted data 13
3.4 Tobit regression model 13
4.Data and variables description 15
4.1 Sample funds 15
4.2 Input and Output variables 16
(1) Input variables 16
(2) Output variable 16
4.3 Environmental variables 16
(1) Characteristics of fund 17
(1) Characteristics of management 17
4.4 Descriptive Statistics 20
5.Results 23
5.1 Stage one: Initial DEA 23
5.2 Stage two: The effect of the operational environment 25
5.3 Stage three: Data adjustment 28
5.4 Stage four: Re-run CRS DEA model 29
6. Conclusion 32
References 34
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