Do stock-level experienced returns influence security selection?
Constantinos Antoniou and
Shema Mitali
Journal of Banking & Finance, 2023, vol. 157, issue C
Abstract:
We examine whether the managers of equity mutual funds exhibit reinforcement learning, investing more heavily in firms in which they previously experienced higher returns. The results reliably support this hypothesis. Experienced returns are related to managers' re-balancing decisions in response to flows. Experienced returns do not play a role for index-tracking funds. When new managers come in a fund, their experiences with stocks in their old funds, influence the investments in these stocks by their new funds. Funds managed by managers who rely more on reinforcement learning, earn lower returns. Experienced returns, when aggregated across managers for each stock, predict persistent lower stock returns. Overall, our evidence suggests that reinforcement learning plays a role in the stock-specific return trades of portfolio managers, with important implications for fund performance and asset prices.
Keywords: Decision from experience; Reinforcement learning; Mutual funds (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037842662300225X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbfina:v:157:y:2023:i:c:s037842662300225x
DOI: 10.1016/j.jbankfin.2023.107034
Access Statistics for this article
Journal of Banking & Finance is currently edited by Ike Mathur
More articles in Journal of Banking & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().