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Journal of Finance Vol. 58 No. 4 2003

Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps

Ravi Jagannathan1,2; Tongshu Ma1,2

1 National Bureau of Economic Research · 2 Kellogg's (Canada)

open access

Abstract

Green and Hollifield (1992) argue that the presence of a dominant factor would result in extreme negative weights in mean‐variance efficient portfolios even in the absence of estimation errors. In that case, imposing no‐short‐sale constraints should hurt, whereas empirical evidence is often to the contrary. We reconcile this apparent contradiction. We explain why constraining portfolio weights to be nonnegative can reduce the risk in estimated optimal portfolios even when the constraints are wrong. Surprisingly, with no‐short‐sale constraints in place, the sample covariance matrix performs as well as covariance matrix estimates based on factor models, shrinkage estimators, and daily data.

DOI
10.1111/1540-6261.00580
Volume
58
Issue
4
Pages
1651-1683
Language
en
Sources
openalex bibtex:phds-export.bib crossref

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