Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10526759 | Statistics & Probability Letters | 2005 | 13 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Koji Inui, Masaaki Kijima, Atsushi Kitano,