2011/03/29 by John Cotter, john cotter, cotter, john +3
Economics, Econometrics and Finance · #FOS: Economics and business #Financial Markets and Investment Strategies #Financial Risk and Volatility Modeling #Risk Management (q-fin.RM) #Statistical Finance (q-fin.ST) #Stochastic processes and financial applications #q-fin.RM #q-fin.ST
paper · pdf · doi:10.48550/arxiv.1103.5666
arxiv created 2011/03/29 · openalex publication_date 2011/03/29 · arxiv updated 2011/03/30 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
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