BinomialBacktest


The basic idea behind binomial backtest (also called basic frequency
test) is to test whether the observed frequency of losses that exceed VaR is
consistent with the frequency of tail losses predicted by the mode. Binomial
Backtest carries out the binomial backtest for a VaR risk measurement model
for specified VaR confidence level and for a one-sided alternative
hypothesis (H1).


'Kevin Dowd's' book Measuring Market Risk is a widely read book
in the area of risk measurement by students and
practitioners alike. As he claims, 'MATLAB' indeed might have been the most
suitable language when he originally wrote the functions, but,
with growing popularity of R it is not entirely
valid. As 'Dowd's' code was not intended to be error free and were mainly
for reference, some functions in this package have inherited those
errors. An attempt will be made in future releases to identify and correct
them. 'Dowd's' original code can be downloaded from www.kevindowd.org/measuring-market-risk/.
It should be noted that 'Dowd' offers both
'MMR2' and 'MMR1' toolboxes. Only 'MMR2' was ported to R. 'MMR2' is more
recent version of 'MMR1' toolbox and they both have mostly similar
function. The toolbox mainly contains different parametric and non
parametric methods for measurement of market risk as well as
backtesting risk measurement methods.

BinomialBacktest: Carries out the binomial backtest for a VaR risk measurement model.

Description

Usage

Arguments

Value

References

Examples