Abstract
We examine the relationship between the business cycle, sentiment, and the returns of listed U.S. hedge funds. Using Natural Language Processing (NLP) techniques, we construct a novel measure of hedge fund sentiment by mapping fund-level sentiment scores to hand-collected portfolio manager commentaries. Our empirical analysis shows that business cycle fluctuations exert the strongest influence on hedge fund sentiment, outweighing the effects of geopolitical, trade, and climate policy risks. Moreover, hedge fund sentiment exhibits explanatory power for the cross-section of returns, where a one-unit improvement in sentiment (from neutral to positive) is associated with an average annual return increase of approximately 0.74 percentage points.
| Original language | English |
|---|---|
| Article number | 101082 |
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Journal of Behavioral and Experimental Finance |
| Volume | 47 |
| DOIs | |
| Publication status | Published - Sept 2025 |
Bibliographical note
© 2025 The Authors. Published by Elsevier B.V. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Business cycle
- Hedge funds
- Natural language processing
- Sentiment
Fingerprint
Dive into the research topics of 'How does the smart money feel? Hedge fund sentiment, returns, and the business cycle'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver