Beta estimates of shares on the JSE Top 40 in the context of reference-day risk

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Authors

Baker, Christopher
Rajaratnam, Kanshukan
Flint, Emlyn James

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Springer

Abstract

A topic of interest in the finance world is measuring systematic risk. Accurately measuring the systematic risk component - or Beta - of an asset or portfolio is important in many financial applications. In this work, we consider the effciency of a range of Beta estimation methods commonly used in practice from a reference-day risk perspective. We show that, when using the industry standard data sample of fi ve years of monthly returns, the choice of reference- day used to calculate underlying returns has a signifi cant impact on all of the Beta estimation methods considered. Driven by this finding, we propose and test an alternative non-parametric bootstrap approach for calculating Beta estimates which is unaffected by reference-day risk. Our primary goal is to determine a point-estimate of Beta, independent of reference-day. Keywords: reference-day risk, bootstrap, systematic risk, Beta.

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Keywords

Reference-day risk, Bootstrap, Systematic risk, Beta

Sustainable Development Goals

Citation

Baker, C, Rajaratnam, K & Flint, EJ 2016, 'Beta estimates of shares on the JSE Top 40 in the context of reference-day risk', Environment Systems and Decisions, vol. 36, no. 2, pp. 126-141.