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研究生: 黃彥儒
Huang, Yen-Ju
論文名稱: 主動型 ETF 之自我指定指標錯配對基金流量之影響
Benchmark Mismatch and Fund Flows in Active ETFs
指導教授: 陳鴻毅
Chen, Hong-Yi
口試委員: 林智勇
Lin, Chih-Yung
何柏欣
Ho, Po-Hsin
顏汝芳
Yen, Ju-Fang
邱健嘉
Chiou, Calvin J.
黃嘉威
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: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 44
中文關鍵詞: 主動型 ETF指標錯配自我指定指標基金流量績效評估
外文關鍵詞: Active ETFs, Benchmark mismatch, Fund flows, Performance evaluation, Selfdesignated Benchmark
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  • 本論文探討美國主動型 ETF 市場中的指標錯配與基金流量。本文檢驗主動型 ETF 的自我指定指標是否符合其實際報酬行為,並進一步分析指標錯配是否影響後續基金流量。本文以 ETF 報酬對候選指標報酬進行時間序列迴歸所得之 R² 作為指標錯配的判定基礎;若 ETF 自我指定指標的 R² 未落於所有候選指標配適結果的前 5%,則該基金被分類為指標錯配基金。在 350 檔具有可辨識指標且具備足夠月資料的主動型 ETF 中,共有 136 檔被分類為指標錯配基金。實證結果顯示,在全樣本中,指標錯配本身並未對後續基金流量產生統計上顯著的直接影響,指標錯配亦未在整體主動型 ETF 樣本中明顯強化基金流量對績效之敏感度。然而,在指標錯配基金子樣本中,基金相對於錯配之自我指定指標的績效仍具有重要性,當錯配基金打敗其自我指定指標時,下一期基金流量會顯著增加,即使控制基金相對修正後指標的績效後,結果仍然成立。此結果顯示,即使基金揭露的指標未完全符合其實際報酬行為,投資人仍可能依賴該指標來評估主動型 ETF 的績效。


    This study examines benchmark mismatch and fund flows in the U.S. active ETF market. It investigates whether the self-designated benchmarks of active ETFs are consistent with their actual return behavior, and whether benchmark mismatch affects subsequent fund flows. Benchmark mismatch is identified using the R² from time-series regressions of ETF returns on candidate benchmark returns. If the R² of an ETF’s self-designated benchmark does not fall within the top 5% of all candidate benchmark fits, the fund is classified as benchmark-mismatched. Among 350 active ETFs with identifiable benchmarks and sufficient monthly observations, 136 funds are classified as benchmark-mismatched. The empirical results show that, in the full sample, benchmark mismatch itself does not have a statistically significant direct effect on subsequent fund flows, nor does it meaningfully strengthen flow-performance sensitivity in the overall active ETF sample. Within the benchmark-mismatched fund subsample, however, performance relative to the mismatched self-designated benchmark remains important. When benchmark-mismatched funds outperform their self-designated benchmarks, next-period fund flows increase significantly, and this result continues to hold after controlling for performance relative to the corrected benchmark. These findings suggest that investors may still rely on disclosed benchmarks when evaluating active ETF performance, even when those benchmarks do not fully reflect the funds’ actual return behavior.

    1. Introduction 7
    1.1 Research Background and Motivation 7
    2. Literature Review 9
    2.1 Benchmark Mismatch and Fund Flows 9
    2.2 Benchmark Mismatch and Flow-Performance Sensitivity 11
    2.3 Flow-Performance Sensitivity among Benchmark-Mismatched Funds 12
    2.4 Literature Gap and Positioning of This Study 13
    3. Data & Methodology 13
    3.1 Data 13
    3.2 Variables 15
    3.3 Methodology 16
    3.3.1 Benchmark Mismatch Identification 16
    3.3.2 Benchmark Mismatch and Subsequent Fund Flows 17
    3.3.3 Benchmark Mismatch and Flow-Performance Sensitivity 18
    3.3.4 Flow-Performance Sensitivity among Benchmark-Mismatched Funds 18
    4. Empirical Results 19
    4.1 Sample Construction and Benchmark Mismatch Classification 19
    4.1.1 Summary Statistics 20
    4.1.2 Benchmark-Level Distribution of Mismatched Funds 21
    4.1.3 Difference in Mean Characteristics between Mismatched and Non-Mismatched Funds 21
    4.1.4 Correlation Analysis 22
    4.2 Benchmark Mismatch, Fund Flows, and Flow-Performance Sensitivity 23
    4.2.1 Benchmark Mismatch and Subsequent Fund Flows 23
    4.2.2 Benchmark Mismatch and Flow-Performance Sensitivity 24
    4.3 Flow-Performance Sensitivity among Benchmark-Mismatched Funds 24
    4.4 Summary of Empirical Findings 26
    5. Conclusion and Future Research 27
    5.1 Conclusion 27
    5.2 Future Reasearch 29
    References 30
    Appendix. Variable Definitions 43

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