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Dowd (version 0.12)

GParetoES: Expected Shortfall for Generalized Pareto

Description

Estimates the ES of a portfolio assuming losses are distributed as a generalised Pareto.

Usage

GParetoES(Ra, beta, zeta, threshold.prob, cl)

Arguments

Ra
Vector of daily Profit/Loss data
beta
Assumed scale parameter
zeta
Assumed tail index
threshold.prob
Threshold probability
cl
VaR confidence level

Value

Expected Shortfall

References

Dowd, K. Measuring Market Risk, Wiley, 2007.

McNeil, A., Extreme value theory for risk managers. Mimeo, ETHZ, 1999.

Examples

Run this code
# Computes ES assuming generalised Pareto for following parameters
   Ra <- 5 * rnorm(100)
   beta <- 1.2
   zeta <- 1.6
   threshold.prob <- .85
   cl <- .99
   GParetoES(Ra, beta, zeta, threshold.prob, cl)

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