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Cited by 378

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Minimum-Variance Portfolios in the U.S. Equity Market

Clarke, Roger G, de Silva, Harindra, Thorley, Steven·2006·The Journal of Portfolio Management

Abstract

In the minimum-variance portfolio, far to the left on the efficient frontier, security weights are independent of expected security returns. Portfolios can be constructed using only the estimated security covariance matrix, without reference to equilibrium expected or actively forecasted returns. Empirical results illustrate the practical value of large-scale numerical optimizations using return-based covariance matrix estimation methodologies, providing new perspective on the factor characteristics of low-volatility portfolios. Optimizations that go back to 1968 reveal that the long-only minimum-variance portfolio has about three-fourths the realized risk of the capitalization-weighted market portfolio, with higher average returns. TOPICS:Portfolio construction, statistical methods, analysis of individual factors/risk premia

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Metadata

Authors
Clarke, R. G., de Silva, H., & Thorley, S.
Venue
The Journal of Portfolio Management
Published
2006-10-31
Volume
33
Issue
1
Pages
10-24
ISSN
  • 0095-4918 (ISSN-L)
  • 2168-8656
OpenAlex
W2077171408
Cited by
378
References
3
FWCI
3.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Minimum-Variance Portfolios in the U.S. Equity Market. https://app.cochat.ai/papers/10.3905/jpm.2006.661366
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Clarke, R. G., de Silva, H., & Thorley, S. (2006). Minimum-Variance Portfolios in the U.S. Equity Market. The Journal of Portfolio Management. https://doi.org/10.3905/jpm.2006.661366

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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.