| 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, 
											