Estimating Beta

  • Haim Shalit
  • Shlomo Yitzhaki


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.

OLS estimators systematic risk mean-Gini 


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Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Haim Shalit
    • 1
  • Shlomo Yitzhaki
    • 2
    • 3
  1. 1.Department of EconomicsBen-Gurion University of the NegevBeer ShevaIsrael
  2. 2.Department of EconomicsHebrew University of JerusalemJerusalemIsrael
  3. 3.Central Bureau of StatisticsJerusalemIsrael

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