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Document Details : Title: Quantifying and Correcting the Bias in Estimated Risk Measures Author(s): KIM, Joseph Hyun Tae , HARDY, Mary R. Journal: ASTIN Bulletin Volume: 37 Issue: 2 Date: 2007 Pages: 365-386 DOI: 10.2143/AST.37.2.2024072 Abstract : In this paper we explore the bias in the estimation of the Value at Risk and Conditional Tail Expectation risk measures using Monte Carlo simulation. We assess the use of bootstrap techniques to correct the bias for a number of different examples. In the case of the Conditional Tail Expectation, we show that application of the exact bootstrap can improve estimates, and we develop a practical guideline for assessing when to use the exact bootstrap. |
