Estimating Beta

Haim Shalit and Shlomo Yitzhaki ()

Review of Quantitative Finance and Accounting, 2002, vol. 18, issue 2, pages 95-118

Abstract: This paper presents evidence that Ordinary Least Squares estimators of beta coefficients of major firms and portfolios are highly sensitive to observations of extremes in market index returns. This sensitivity is rooted in the inconsistency of the quadratic loss function in financial theory. By introducing considerations of risk aversion into the estimation procedure using alternative estimators derived from Gini measures of variability one can overcome this lack of robustness and improve the reliability of the results. Copyright 2002 by Kluwer Academic Publishers

Date: 2002
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