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Machine-Learning the Skill of Mutual Fund Managers

Citations

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Cited by:

  1. Fragkiskos, Apollon & Krasotkina, Olga & Spilker, Harold D. & Wermers, Russ, 2025. "Private Equity Fund Performance: A Time-Series Approach," Journal of Banking & Finance, Elsevier, vol. 177(C).
  2. Ferriani, Fabrizio & Marchetti, Sabina, 2025. "The micro-determinants of portfolio allocation shifts in mutual funds: Evidence from machine learning models," Finance Research Letters, Elsevier, vol. 85(PB).
  3. Jiang, Hao & Li, Sophia Zhengzi & Yuan, Peixuan, 2025. "Granular information and sectoral movements," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
  4. Cong Wang, 2024. "Stock return prediction with multiple measures using neural network models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-34, December.
  5. Wu, Haoran & Gao, Zhiwei & Nie, Boyang & Zhao, Binru, 2025. "Can machines learn Chinese mutual funds?," Pacific-Basin Finance Journal, Elsevier, vol. 94(C).
  6. Ha, Yeonjeong & Oh, Haejune, 2024. "Choice for smart investment in mutual funds: Single- or multi-period performance ranks," Finance Research Letters, Elsevier, vol. 59(C).
  7. Alexandre Momparler & Pedro Carmona & Francisco Climent, 2025. "Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1617-1642, March.
  8. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
  9. Yizhan Shu & Chenyu Yu & John M. Mulvey, 2024. "Dynamic Asset Allocation with Asset-Specific Regime Forecasts," Papers 2406.09578, arXiv.org, revised Aug 2024.
  10. Fausch, Jürg & Frigg, Moreno & Ruenzi, Stefan & Weigert, Florian, 2026. "Machine learning mutual fund flows," CFR Working Papers 26-03, University of Cologne, Centre for Financial Research (CFR).
  11. Li, Zhiyong & Rao, Xiao, 2023. "Exploring the zoo of predictors for mutual fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
  12. Matteo Bagnara & Benoit Vaucher, 2025. "Performance Misattributions," Journal of Asset Management, Palgrave Macmillan, vol. 26(7), pages 883-894, December.
  13. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  14. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
  15. Maarten P. Scholl & Mahmoud Mahfouz & Anisoara Calinescu & J. Doyne Farmer, 2025. "Learning to Manage Investment Portfolios beyond Simple Utility Functions," Papers 2510.26165, arXiv.org.
  16. Ma, Tian & Wang, Wanwan & Jiang, Fuwei, 2025. "Machine learning the performance of hedge fund," Journal of International Money and Finance, Elsevier, vol. 155(C).
  17. Jozef Barunik & Martin Hronec & Ondrej Tobek, 2024. "Forecasting stock return distributions around the globe with quantile neural networks," Papers 2408.07497, arXiv.org, revised Aug 2025.
  18. DeMiguel, Victor & Gil-Bazo, Javier & Nogales, Francisco J. & Santos, André A.P., 2023. "Machine learning and fund characteristics help to select mutual funds with positive alpha," Journal of Financial Economics, Elsevier, vol. 150(3).
  19. Damir Filipovi'c & Puneet Pasricha, 2022. "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Papers 2212.01048, arXiv.org, revised Mar 2026.
  20. Yizhan Shu & Chenyu Yu & John M. Mulvey, 2025. "Dynamic asset allocation with asset-specific regime forecasts," Annals of Operations Research, Springer, vol. 346(1), pages 285-318, March.
  21. Müller, Sebastian & Pugachyov, Nikolay & Weigert, Florian, 2026. "Forecasting mutual fund performance: Combining return-based with portfolio holdings-based predictors," CFR Working Papers 26-01, University of Cologne, Centre for Financial Research (CFR).
  22. Amit Pandey & Anil Kumar Sharma, 2023. "Indian institutional investor's portfolio concentration decision: skill and performance," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 21(1), pages 66-95, December.
  23. Inigo Martin-Melero & Raul Gomez-Martinez & Maria Luisa Medrano-Garcia & Felipe Hernandez-Perlines, 2025. "Comparison of sectorial and financial data for ESG scoring of mutual funds with machine learning," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-31, December.
  24. Li, Bin & Rossi, Alberto G. & Yan, Xuemin (Sterling) & Zheng, Lingling, 2025. "Machine learning from a “Universe” of signals: The role of feature engineering," Journal of Financial Economics, Elsevier, vol. 172(C).
  25. Guilherme V. Moura & Andr'e P. Santos & Hudson S. Torrent, 2025. "Variable selection for minimum-variance portfolios," Papers 2508.14986, arXiv.org.
  26. Yang ZHANG & Ziang QIU Ziang & Donghyun PARK & Shu TIAN, 2026. "Role of Artificial Intelligence in Finance: Selective Literature Review and Implications for Asia's Financial Stability," Working Papers wp61, South East Asian Central Banks (SEACEN) Research and Training Centre, revised Feb 2026.
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