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Bias of a Value-at-Risk estimator
Authors:Yong Bao  Aman Ullah  
Affiliation:

Department of Economics, University of California, Riverside, CA 92521, USA

Abstract:We develop the analytical second-order bias of a Value-at-Risk estimator based on an ARCH(1) volatility specification when the parameters are estimated by the method of quasi maximum likelihood. We show that the bias results from two sources: assumption on the distribution of the standardized residuals and the parameter estimation error.
Keywords:Value-at-Risk   Second-order bias
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