Extreme spectral risk measures: an application to futures, Electronically available on (2006)
| Venue: | University of California – Berkley |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Cotter06extremespectral,
author = {John Cotter and Kevin Dowd},
title = {Extreme spectral risk measures: an application to futures, Electronically available on},
booktitle = {University of California – Berkley},
year = {2006}
}
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Abstract
This paper applies the Extreme-Value (EV) Generalised Pareto distribution to the extreme tails of the return distributions for the S&P500, FT100, DAX, Hang Seng, and Nikkei225 futures contracts. It then uses tail estimators from these contracts to estimate spectral risk measures, which are coherent risk measures that reflect a user’s risk-aversion function. It compares these to more familiar VaR and Expected Shortfall (ES) measures of risk, and also compares the precision and discusses the relative usefulness of each of these risk measures.
