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Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph

Author

Listed:
  • You-Sin Chen

    (National Yang Ming Chiao Tung University)

  • Chu-Lan Michael Kao

    (National Yang Ming Chiao Tung University)

  • Po-Hsien Liu

    (National Yang Ming Chiao Tung University)

  • Vincent S. Tseng

    (National Yang Ming Chiao Tung University)

Abstract

This paper proposes a machine learning framework that incorporates mutual fund managers’ portfolio decisions to predict stock price movements. It employs a weighted hypergraph to connect the information of the funds’ portfolio weight changes to the corresponding stocks in the portfolio. This information is further aggregated with price data extracted through classical machine learning methods. The framework then predicts stock price movements as a classification problem. We tested this framework using Taiwanese stock and mutual fund data, discovering that the managers’ decisions provide predictive information about stocks in addition to the classical technical data. Moreover, we determined that the level of information provided by the managers’ decisions is asymmetric under different market conditions. This finding supports existing literature on mutual fund behavior under varying market conditions. Further discussions on incorporating other expert trading behaviors in Taiwan and model comparisons are provided.

Suggested Citation

  • You-Sin Chen & Chu-Lan Michael Kao & Po-Hsien Liu & Vincent S. Tseng, 2025. "Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3039-3075, June.
    • Handle: RePEc:kap:compec:v:65:y:2025:i:6:d:10.1007_s10614-024-10673-7
    DOI: 10.1007/s10614-024-10673-7
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    References listed on IDEAS

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    1. Pai, Ping-Feng & Lin, Chih-Sheng, 2005. "A hybrid ARIMA and support vector machines model in stock price forecasting," Omega, Elsevier, vol. 33(6), pages 497-505, December.
    2. Chih-Chiang Wu, 2011. "Measuring mutual fund asymmetric performance in changing market conditions: evidence from a Bayesian threshold model," Applied Financial Economics, Taylor & Francis Journals, vol. 21(16), pages 1185-1204.
    3. Daiki Matsunaga & Toyotaro Suzumura & Toshihiro Takahashi, 2019. "Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis," Papers 1909.10660, arXiv.org, revised Nov 2019.
    4. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    5. Goetzmann, William N. & Massa, Massimo, 2002. "Daily Momentum and Contrarian Behavior of Index Fund Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 375-389, September.
    6. Louis K. C. Chan & Hsiu-Lang Chen & Josef Lakonishok, 2002. "On Mutual Fund Investment Styles," The Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1407-1437.
    7. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    8. Falkenstein, Eric G, 1996. "Preferences for Stock Characteristics as Revealed by Mutual Fund Portfolio Holdings," Journal of Finance, American Finance Association, vol. 51(1), pages 111-135, March.
    9. Raehyun Kim & Chan Ho So & Minbyul Jeong & Sanghoon Lee & Jinkyu Kim & Jaewoo Kang, 2019. "HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction," Papers 1908.07999, arXiv.org, revised Nov 2019.
    10. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60(2), pages 151-151.
    11. Alexakis, Christos & Dasilas, Apostolos & Grose, Chris, 2013. "Asymmetric dynamic relations between stock prices and mutual fund units in Japan. An application of hidden cointegration technique," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 1-8.
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