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Estimating Financial Risk Measures for Futures Positions:A Non-Parametric Approach

John Cotter and Kevin Dowd
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Kevin Dowd: The University of Nottingham

No 200613, Working Papers from Geary Institute, University College Dublin

Abstract: This paper presents non-parametric estimates of spectral risk measures applied to long and short positions in 5 prominent equity futures contracts. It also compares these to estimates of two popular alternative measures, the Value-at-Risk (VaR) and Expected Shortfall (ES). The spectral risk measures are conditioned on the coefficient of absolute risk aversion, and the latter two are conditioned on the confidence level. Our findings indicate that all risk measures increase dramatically and their estimators deteriorate in precision when their respective conditioning parameter increases. Results also suggest that estimates of spectral risk measures and their precision levels are of comparable orders of magnitude as those of more conventional risk measures. Running head: financial risk measures for futures positions.

JEL-codes: G15 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2011-06-24
New Economics Papers: this item is included in nep-rmg and nep-upt
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Related works:
Working Paper: Estimating financial risk measures for futures positions: a non-parametric approach (2011) Downloads
Journal Article: Estimating financial risk measures for futures positions: A nonparametric approach (2010) Downloads
Working Paper: Estimating financial risk measures for futures positions: a non-parametric approach (2007) Downloads
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