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dc.contributor.authorTofallis, C.
dc.date.accessioned2007-09-26T12:24:58Z
dc.date.available2007-09-26T12:24:58Z
dc.date.issued2004
dc.identifier.citationTofallis , C 2004 ' Investment Volatility : A Critique of Standard Beta Estimation and a Simple Way Forward ' Business School Working Papers , vol. UHBS 2004-3 , University of Hertfordshire .
dc.identifier.otherdspace: 2299/687
dc.identifier.otherORCID: /0000-0001-6150-0218/work/34655907
dc.identifier.urihttp://hdl.handle.net/2299/687
dc.description.abstractThanks are due to Markus Becker for useful comments on an earlier version of this essay. Beta is a widely used quantity in investment analysis. We review the common interpretations that are applied to beta in finance and show that the standard method of estimation least squares regression is inconsistent with these interpretations. We present the case for an alternative beta estimator which is more appropriate, as well as being easier to understand and to calculate. Unlike regression, the line fit we propose treats both variables in the same way. Remarkably, it provides a slope that is precisely the ratio of the volatility of the investments rate of return to the volatility of the market index rate of return (or the equivalent excess rates of returns). Hence, this line fitting method gives an alternative beta, which corresponds exactly to the relative volatility of an investment - which is one of the usual interpretations attached to beta. Keywords- investment analysis, financial risk, volatility, systematic risk.en
dc.format.extent219288
dc.language.isoeng
dc.publisherUniversity of Hertfordshire
dc.relation.ispartofseriesBusiness School Working Papers
dc.titleInvestment Volatility : A Critique of Standard Beta Estimation and a Simple Way Forwarden
dc.contributor.institutionDepartment of Marketing and Enterprise
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionSocial Sciences, Arts & Humanities Research Institute
dc.contributor.institutionCentre for Research on Management, Economy and Society
dc.contributor.institutionStatistical Services Consulting Unit
rioxxterms.typeWorking paper
herts.preservation.rarelyaccessedtrue


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