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Construct sparse portfolio with mutual fund's favourite stocks in China A share market

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  • Ke Zhang

Abstract

Unlike developed market, some emerging markets are dominated by retail and unprofessional trading. China A share market is a good and fitting example in last 20 years. Meanwhile, lots of research show professional investor in China A share market continuously generate excess return compare with total market index. Specifically, this excess return mostly come from stock selectivity ability instead of market timing. However for some reason such as fund capacity limit, fund manager change or market regional switch, it is very hard to find a fund could continuously beat market. Therefore, in order to get excess return from mutual fund industry, we use quantitative way to build the sparse portfolio that take advantage of favorite stocks by mutual fund in China A market. Firstly we do the analysis about favourite stocks by mutual fund and compare the different method to construct our portfolio. Then we build a sparse stock portfolio with constraint on both individual stock and industry exposure using portfolio optimizer to closely track the partial equity funds index 930950.CSI with median 0.985 correlation. This problem is much more difficult than tracking full information index or traditional ETF as higher turnover of mutual fund, just first 10 holding of mutual fund available and fund report updated quarterly with 15 days delay. Finally we build another low risk and balanced sparse portfolio that consistently outperform benchmark 930950.CSI.

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  • Ke Zhang, 2023. "Construct sparse portfolio with mutual fund's favourite stocks in China A share market," Papers 2305.01642, arXiv.org.
  • Handle: RePEc:arx:papers:2305.01642
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    References listed on IDEAS

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    1. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
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    3. Zheng, Dazhi & Li, Huimin & Zhu, Xiaowei, 2015. "Herding behavior in institutional investors: Evidence from China’s stock market," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 59-76.
    4. Kenneth R. French, 2008. "Presidential Address: The Cost of Active Investing," Journal of Finance, American Finance Association, vol. 63(4), pages 1537-1573, August.
    5. Ke Zhang, 2023. "Adjust factor with volatility model using MAXFLAT low-pass filter and construct portfolio in China A share market," Papers 2304.04676, arXiv.org, revised Apr 2023.
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