Value at risk in the South African equity market : a view from the tails

dc.contributor.authorMilwidsky, C.
dc.contributor.authorMare, Eben
dc.date.accessioned2010-11-10T06:11:04Z
dc.date.available2010-11-10T06:11:04Z
dc.date.issued2010-09
dc.description.abstractTraditional parametric Value at Risk (VaR) estimates assume normality in financial returns data. However, it is well known that this distribution, while convenient and simple to implement, underestimates the kurtosis demonstrated in most financial returns. Huisman, Koedijk and Pownall (1998) replace the normal distribution with the Student’s t distribution in modelling financial returns for the calculation of VaR. In this paper we extend their approach to the Monte Carlo simulation of VaR on both linear and non-linear instruments with application to the South African equity market. We show, via backtesting, that the t distribution produces superior results to the normal one.en
dc.identifier.citationMilwidsky, C & Maré, E 2010, 'Value at Risk in the South African equity market : a view from the tails', South African Journal of Economic and Management Sciences, vol. 13, no. 3, pp. 345-361. [http://www.journals.co.za/ej/ejour_ecoman.html]en
dc.identifier.issn1015-8812
dc.identifier.urihttp://hdl.handle.net/2263/15237
dc.language.isoenen_US
dc.publisherJutaen_US
dc.rightsJutaen_US
dc.subjectValue at risk (VaR)en
dc.subjectEquity marketsen
dc.subject.lcshStock exchanges -- Risk assessment -- South Africaen
dc.subject.lcshF-distributionen
dc.titleValue at risk in the South African equity market : a view from the tailsen
dc.typeArticleen

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