Research Article
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Published on 14 October 2024
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Li,Q. (2024). Actively Managed Stock Mutual Funds and Market Efficiency Evidence from China. Journal of Fintech and Business Analysis,1,56-63.
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Actively Managed Stock Mutual Funds and Market Efficiency Evidence from China

Qinying Li *,1,
  • 1 Columbia University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/3049-5768/1/2024010

Abstract

I examine the ability of stock selection and time selection in the Chinese A-share Stock Market. I find that significant timing skill of the Chinese stock mutual funds on the HML factor, but not the SMB factor in the time period between 2003 and 2020. I construct the Fama-French model, 4-factor model, Treynor-Mazuy model, and Henricksson-Merton model in the whole sample period between 2003 and 2020, as well as three sub-sample periods to examine the significance of different factors and how they perform in each sub-sample period. I also generate the cumulative return and average of the MOM factor. I find that the MOM factor’s average returns are more positive in the latest sub-sample period, from 2017 to 2020.

Keywords

Chinese A-share stock market, Fama-French factors, momentum factor, Treynor-Mazuy model, Henricksson-Merton model, market timing, factor timing

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[2]. Chen, Q., & Chi, Y. (2018). Smart beta, smart money. Journal of Empirical Finance, 49, 19-38.

[3]. Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56.

[4]. Henriksson, R., & Merton, R. (1981). On market timing and investment performance. Journal of Business, 54, 513-533.

[5]. Treynor, J., & Mazuy, K. (1966). Can mutual funds outguess the market? Harvard Business Review, 44, 131-136.

Cite this article

Li,Q. (2024). Actively Managed Stock Mutual Funds and Market Efficiency Evidence from China. Journal of Fintech and Business Analysis,1,56-63.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Journal of Fintech and Business Analysis

Volume number: Vol.1
ISSN:3049-5768(Print) / 3049-5776(Online)

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