1887

n South African Journal of Economic and Management Sciences - Value at Risk in the South African equity market : a view from the tails

USD

 

Abstract

Traditional 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 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 distribution produces superior results to the normal one.

Loading

Article metrics loading...

/content/ecoman/13/3/EJC31320
2010-09-01
2016-12-04
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error