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Cited by 388

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

The Role of Learning in Dynamic Portfolio Decisions

Open access
Brennan, M. J.·1998·Review of Finance

Abstract

This paper analyzes the effect of uncertainty about the mean return on the risky asset on the portfolio decisions of an investor who has a long investment horizon. Building on the earlier work of Detemple (1986), Dothan and Feldman (1986), and Gennotte (1986), it is shown that the possibility of future learning about the mean return on the risky asset induces the investor to take a larger or smaller position in the risky asset than she would if there were no learning, the direction of the effect depending on whether the investor is more or less risk tolerant than the logarithmic investor whose portfolio decisions are unaffected by the possibility of future learning. Numerical calculations show that uncertainty about the mean return on the market portfolio has a significant effect on the portfolio decision of an investor with a 20 year horizon if her assessment of the market risk premium is based solely on the Ibbotson and Sinquefield (1995) data.

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Crossref · 10.1023/a:1009725805128

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Metadata

Authors
Brennan, M. J.
Venue
Review of Finance
Published
1998-12-01
Volume
1
Issue
3
Pages
295-306
ISSN
  • 1382-6662 (ISSN-L)
  • 1572-3097
  • 1573-692X
OpenAlex
W1995236180
Cited by
388
References
13
FWCI
12.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Role of Learning in Dynamic Portfolio Decisions. https://app.cochat.ai/papers/10.1023/a:1009725805128
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Brennan, M. J. (1998). The Role of Learning in Dynamic Portfolio Decisions. Review of Finance. https://doi.org/10.1023/a%3A1009725805128

Data sources

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.