A New Approach to Comparing VaR Estimation Methods
Posted: 20 Apr 2007 Last revised: 13 Jan 2009
Date Written: November 1, 2008
Abstract
We develop a novel backtesting framework based on multidimensional Value-at-Risk (VaR) that focuses on the left tail of the distribution of the bank trading revenues. Our coverage test is a multivariate generalization of the unconditional test of Kupiec (Journal of Derivatives, 1995). Applying our method to actual daily bank trading revenues, we find that non-parametric VaR methods, such as GARCH-based methods or filtered Historical Simulation, work best for bank trading revenues.
Keywords: Value-at-Risk, Bank Trading Revenue, Backtesting, Coverage Test
JEL Classification: G21, G28, G32
Suggested Citation: Suggested Citation
Financial Research Network (FIRN)
C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia
HOME PAGE: http://www.firn.org.au
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