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Cited by 216

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Time-Varying Expected Small Firm Returns and Closed-End Fund Discounts

Open access
Swaminathan, Bhaskaran·1996·Review of Financial Studies

Abstract

This article describes the relation between closed-end fund discounts and time-varying expected excess returns on small firms. The results indicate that closed-end fund discounts forecast future excess returns on small firms. The information in discounts is independent of that in other commonly used forecasting variables such as the dividend yield on the market, the default spread, and the term spread. Furthermore, the closed-end fund discount forecasts only the small firm factor return and is the only variable that forecasts the small firm factor return. Additional tests indicate that the information in discounts is related to expectations of future earnings growth and expectations of future inflation. These results provide significant support for a rational explanation of the time-series relationship between discounts and expected returns on small firms.

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Crossref · 10.1093/rfs/9.3.845

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Metadata

Authors
Swaminathan, B.
Venue
Review of Financial Studies
Published
1996-07
Volume
9
Issue
3
Pages
845-887
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W2024430470
Cited by
216
References
1
FWCI
3.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Time-Varying Expected Small Firm Returns and Closed-End Fund Discounts. https://app.cochat.ai/papers/10.1093/rfs/9.3.845
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Swaminathan, B. (1996). Time-Varying Expected Small Firm Returns and Closed-End Fund Discounts. Review of Financial Studies. https://doi.org/10.1093/rfs/9.3.845

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.