Beta measurement with high frequency returns

Bao Doan, John B. Lee, Qianqiu Liu and Jonathan J. Reeves

Finance Research Letters, 2022, vol. 47, issue PA

Abstract: Analysis with high frequency returns has become a core part of modern financial econometrics. Particularly in the measurement and forecasting of variance, covariance, correlation and Capital Asset Pricing Model (CAPM) beta. This paper studies CAPM beta measurement with high frequency returns and evaluates trade-offs between bias and variability from different approaches. Our main finding is that the increasing of the return sampling frequency to a suitably high level with the inclusion of a lead and lag in the beta estimation, can result in substantial improvements in the bias and variability trade-off, relative to standard realized beta estimators with returns over a range of sampling frequencies.

Keywords: CAPM; Measurement error; Realized betas; Systematic risk (search for similar items in EconPapers)
JEL-codes: C53 C58 G17 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:47:y:2022:i:pa:s1544612321005687

DOI: 10.1016/j.frl.2021.102632

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