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博碩士論文 etd-0518123-223243 詳細資訊
Title page for etd-0518123-223243
論文名稱
Title
從眾行為與管理能力是否影響基金的未來績效
Do Herd Behavior and Management Ability Affect Fund Performance
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
41
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2023-05-26
繳交日期
Date of Submission
2023-06-18
關鍵字
Keywords
從眾行為、共同基金、管理能力、投資決策、回歸分析
Herding Behavior, Mutual Funds, Managerial Ability, Investment Decision, Regression Analysis
統計
Statistics
本論文已被瀏覽 42 次,被下載 2
The thesis/dissertation has been browsed 42 times, has been downloaded 2 times.
中文摘要
本研究旨在運用行為財務學的觀點,深入探討台灣股票型基金的從眾行為與管理能力之間的關聯。我們使用了2001年第2季至2022年第3季間178家台灣投資國內股票型基金,以季為頻率的樣本數總計共13,725筆,並採用了Jiang(2018)的方法建立了以基金為層面的從眾衡量指標。本研究的結果顯示,基金的從眾行為與績效呈現負向關係。具體而言,從眾基金與非從眾基金之間的績效差異每年達到1.32%。進一步的分析顯示,這種績效差異主要是由管理能力所引起的。我們觀察到,反從眾的基金在選股能力方面表現更優秀,並且當市場出現機會時,這些基金能夠做出更好的決策。
Abstract
This study aims to examine the association between herding behavior and managerial skill in Taiwan's equity mutual funds from the perspective of behavioral finance. We utilize data from 178 Taiwan domestic equity mutual funds during the period from the second quarter of 2001 to the third quarter of 2022, with a total sample size of 13,725 quarterly observations. We employ Jiang's (2018) methodology to construct a fund-level herding measure. The results of this study reveal a negative relationship between herding behavior and performance in funds. Specifically, the performance gap between herding and anti-herding funds amounts to 1.32% annually. Further analysis indicates that this performance gap is primarily driven by differences in managerial skill. We observe that anti-herding funds exhibit superior stock selection abilities and make better decisions when market opportunities arise.
目次 Table of Contents
論文審定書 i
摘 要 ii
Abstract iii
目 錄 iv
表 次 v
第一章、緒論 1
第二章、文獻回顧 3
第一節、從眾行為之定義與理論 3
第二節、從眾行為對金融市場之影響 4
第三章、研究設計與變數 7
第一節、樣本資料 7
第二節、研究假說 7
第三節、研究方法 8
第四節、變數定義 15
第四章、實證結果 16
第一節、敘述統計 16
第二節、投組分析 17
第三節、回歸分析 21
第五章、結論與建議 31
參考文獻 32


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