level and holding period implied by data frequency.
BootstrapESConfInterval(Ra, number.resamples, cl)
Arguments
Ra: Vector corresponding to profit and loss distribution
number.resamples: Number of samples to be taken in bootstrap procedure
cl: Number corresponding to Expected Shortfall confidence level
Returns
90
Examples
# To be modified with appropriate data.# Estimates 90% confidence interval for bootstrapped ES for 95%# confidence interval Ra <- rnorm(1000) BootstrapESConfInterval(Ra,50,0.95)