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Estimating Beta

  • Fabian Hollstein and Marcel Prokopczuk

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.

Copyright

Corresponding author

* Hollstein (corresponding author), hollstein@fmt.uni-hannover.de, Leibniz University Hannover, School of Economics and Management, Hannover 30167, Germany; Prokopczuk, prokopczuk@fmt.uni-hannover.de, Leibniz University Hannover, School of Economics and Management, Hannover 30167, Germany and University of Reading.

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Hollstein and Prokopczuk supplementary material
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