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Estimating Beta

Published online by Cambridge University Press:  01 November 2016

Fabian Hollstein  and
Marcel Prokopczuk
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Abstract

We conduct a comprehensive comparison of market beta estimation techniques. We study the performance of several historical, time-series model, and option-implied estimators for estimating realized market beta. Thereby, we find the hybrid methodology of Buss and Vilkov to consistently outperform all other approaches. In addition, all other approaches, including fully implied and dynamic conditional beta, based on generalized autoregressive conditional heteroskedasticity (GARCH) models, are dominated by a simple beta estimate based on historical (co-)variances and an approach based on the Kalman filter. Our conclusions remain unchanged after performing several robustness checks.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 51 , Issue 4 , August 2016 , pp. 1437 - 1466
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2016 

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