Biases in CAPM Beta Estimation

Advances in Investment Analysis and Portfolio Management, Volume 8(2017), pp.83-103.

28 Pages Posted: 2 Sep 2016 Last revised: 1 Nov 2018

See all articles by Linda H. Chen

Linda H. Chen

University of Idaho

George J. Jiang

Washington State University

Pan Guanzhong

Washington State University

Xingnong Zhu

Ibbotson Associates

Date Written: August 31, 2016

Abstract

In this paper, we show that conditions derived under the CAPM ensure only weak exogeneity in a linear regression setting. Since strong exogeneity is not guaranteed, the OLS estimator of CAPM beta is only consistent but not necessarily unbiased. We provide empirical evidence that individual daily stock returns exibit regime-switching patterns and may violate strong exogeneity conditions. As such, the OLS estimator of CAPM beta is likely biased. Based on the empirical patterns of daily stock returns, we use three regime-switching models to illustrate thatthe OLS estimator of CAPM beta can be consistent but at the same time biased. Simulation results based on these three regime-switching models show that biases of the OLS beta estimator can be substantial.

Keywords: Capital Asset Pricing Model (CAPM), Beta Estimation, Exogeneity, Consistency, Unbiasedness

JEL Classification: C10, C13, G12

Suggested Citation

Chen, Linda H. and Jiang, George and Guanzhong, Pan and Zhu, Xingnong, Biases in CAPM Beta Estimation (August 31, 2016). Advances in Investment Analysis and Portfolio Management, Volume 8(2017), pp.83-103., Available at SSRN: https://ssrn.com/abstract=2833056 or http://dx.doi.org/10.2139/ssrn.2833056

Linda H. Chen (Contact Author)

University of Idaho ( email )

Department of Accounting
College of Business and Economics
Moscow, ID 83944-3174
United States

George Jiang

Washington State University ( email )

Department of Finance and Management Science
Carson College of Business
Pullman, WA 99-4746164
United States
509-3354474 (Phone)

HOME PAGE: http://directory.business.wsu.edu/bio.html?username=george.jiang

Pan Guanzhong

Washington State University ( email )

Wilson Rd.
College of Business
Pullman, WA 99164
United States

Xingnong Zhu

Ibbotson Associates ( email )

225 North Michigan Avenue
Suite 700
Chicago, IL 60601
United States

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