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研究生: 魏旻萱
Wei, Min-Xuan
論文名稱: ESG基金之持股狀況對基金流量及基金績效之影響
A Study of the Impact of ESG Fund Holdings on Fund Flow and Fund Performance
指導教授: 陳鴻毅
Chen, Hong-Yi
口試委員: 楊曉文
Yang, Sheau-Wen
徐之強
Hsu, Chih-Chiang
學位類別: 碩士
Master
系所名稱: 商學院 - 財務管理學系
Department of Finance
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 51
中文關鍵詞: ESGESG分數共同基金
外文關鍵詞: ESG, ESG score, mutual funds
DOI URL: http://doi.org/10.6814/NCCU202100617
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  • 本研究主要探討ESG基金相較非ESG基金是否能吸引較多資金流入,以及是否能創造更高的報酬。本研究亦探討ESG基金的資金流量及績效是否與其ESG分數有關。本研究將每檔ESG基金依據基金規模及投資屬性選取三檔非ESG基金作為配對基金。實證研究結果顯示ESG基金相較於配對之非ESG基金擁有較好的績效表現,但未能得出ESG基金吸引較多資金流入的一致結果。此外,在ESG分數相對較低的基金中,ESG分數與績效表現呈正相關;但在ESG分數相對較高的基金中,提高ESG分數未必有利於績效。


    This paper investigates whether ESG funds attract more fund flow and deliver better performance than their non-ESG counterparts. In addition, we examine if higher ESG scores attract more fund flow or have better performance. Since there is a large difference between the sample size of ESG funds and non-ESG funds, we use the matching approach before we run our test, in which we match three non-ESG funds for every ESG fund. The empirical results find it hard to conclude whether investors have a stronger preference for ESG funds, and we find that when it comes to flows, the role of ESG scores for ESG investors is not statistically significant. The study also finds that ESG funds tend to deliver better performance than their non-ESG counterparts, and for funds with relatively high ESG scores, increasing ESG score might narrow down their investment pool and thus harm their performance. On the contrary, for funds with relatively low ESG-score, increasing ESG scores might enhance their performance.

    1.Introduction 1
    2.Literature Review 4
    2.1 Motivation for ESG Investing 4
    2.2 Studies of ESG Performance 4
    2.3 Fund Matching Approach 5
    3.Data and Methodology 6
    3.1 Data and Selection of ESG funds 6
    3.2 ESG Score Calculation 7
    3.3 Sample Matching 8
    3.3.1 Score Matching 8
    3.3.2 Style Number and TNA Matching 8
    3.4 Linear Regression 10
    4.Empirical Results 11
    4.1 Dependent Variable: Flow 11
    4.2 Dependent Variable: Performance 16
    5.Future Research 23
    6.Conclusion 24
    References 27

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