Derives the Blanco-Ihle forecast evaluation loss measure for a VaR risk measurement model.
BlancoIhleBacktest(Ra, Rb, Rc, cl)
Arguments
Ra: Vector of a portfolio profit and loss
Rb: Vector of corresponding VaR forecasts
Rc: Vector of corresponding Expected Tailed Loss forecasts
cl: VaR confidence interval
Returns
First Blanco-Ihle score measure.
Examples
# Blanco-Ihle Backtest For Independence for given confidence level.# The VaR and ES are randomly generated. a <- rnorm(1*100) b <- abs(rnorm(1*100))+2 c <- abs(rnorm(1*100))+2 BlancoIhleBacktest(a, b, c,0.95)
Author(s)
Dinesh Acharya
References
Dowd, Kevin. Measuring Market Risk, Wiley, 2007.
Blanco, C. and Ihle, G. How Good is Your Var? Using Backtesting to Assess System Performance. Financial Engineering News, 1999.