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AN INVESTIGATION OF ALTERNATIVE ESTIMATORS OF EXPECTED RETURNS IN MEAN‐VARIANCE ANALYSIS
Author(s) -
Fletcher Jonathan
Publication year - 1997
Publication title -
journal of financial research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 49
eISSN - 1475-6803
pISSN - 0270-2592
DOI - 10.1111/j.1475-6803.1997.tb00240.x
Subject(s) - econometrics , estimator , portfolio , variance (accounting) , sample (material) , economics , asset allocation , modern portfolio theory , statistics , asset (computer security) , actuarial science , mathematics , financial economics , computer science , chemistry , accounting , computer security , chromatography
In this paper I examine the out‐of‐sample performance of five mean‐variance strategies using different models of expected returns within a U.K. industry asset‐allocation framework between January 1970 and December 1991. The performance of the five strategies is evaluated with different measures. I find superior performance for the strategy that uses conditioning information to estimate expected returns. This consistently outperforms the two passive benchmarks and earns positive abnormal returns over the sample period regardless of how frequently the portfolio is revised and whether portfolio restrictions are imposed.