Beta estimates of shares on the JSE Top 40 in the context of reference-day risk
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Date
Authors
Baker, Christopher
Rajaratnam, Kanshukan
Flint, Emlyn James
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
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.