Article ID Journal Published Year Pages File Type
10526759 Statistics & Probability Letters 2005 13 Pages PDF
Abstract
This article shows that value-at-risk (VaR), the most popular risk measure in financial practice, has a considerable positive bias when used for a portfolio with fat-tail distribution. The bias increases with higher confidence level, heavier tails, and smaller sample size. Also, the Harrell-Davis quantile estimator and its simulation counterpart, called the bootstrap estimator, tend to have a more significant positive bias for fat-tail distributions.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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