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Author:Bali, T.G.
Title:An extreme value approach to estimating volatility and value at risk
Journal:Journal of Business
2003 : JAN, VOL. 76:1, p. 83-108
Index terms:Interest rates
Value-at-risk
Volatility
USA
Language:eng
Abstract:This article determines the type of asymptotic distribution for the extreme changes in U.S. Treasury yields. The thintailed Gumbel and exponential distributions are strongly rejected against the fat-tailed Frechet and Pareto distributions. The empirical results indicate that the volatility of maximal and minimal changes in interest rates declines as time-to-maturity rises, yielding a downward-sloping volatility curve for the extremes. The article proposes an extreme value approach to estimating value at risk and shows that the statistical theory of extremes provides a more accurate approach for risk management and value at risk (VaR) calculations than the standard models.
SCIMA record nr: 247947
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