ChristoffersenBacktestForUnconditionalCoverage {Dowd} | R Documentation |
Christoffersen Backtest for Unconditional Coverage
Description
Carries out the Christiffersen backtest for unconditional coverage for a VaR risk measurement model, for specified VaR confidence level.
Usage
ChristoffersenBacktestForUnconditionalCoverage(Ra, Rb, cl)
Arguments
Ra |
Vector of portfolio profit and loss observations |
Rb |
Vector of VaR forecasts corresponding to PandL observations |
cl |
Confidence level for VaR |
Value
Probability, given the data set, that the null hypothesis (i.e. a correct model) is correct.
Author(s)
Dinesh Acharya
References
Dowd, K. Measuring Market Risk, Wiley, 2007.
Christoffersen, P. Evaluating interval forecasts. International Economic Review, 39(4), 1998, 841-862.
Examples
# Has to be modified with appropriate data:
# Christoffersen Backtest For Unconditional Coverage for given parameters
a <- rnorm(1*100)
b <- abs(rnorm(1*100))+2
ChristoffersenBacktestForUnconditionalCoverage(a, b, 0.95)
[Package Dowd version 0.12 Index]