KSTestStat

number.trials

sample.size

Confidence interval expressed as a fraction of 1

confidence.interval

Kolmogorov-Smirnov (KS) test statistic is a non parametric test for
distribution equality and measures the maximum distance between two cdfs.
Formally, the KS test statistic is : $$D=\max_i|F(X_i)-\hat{F}(X_i)|$$

'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.

KSTestStat: Plots cumulative density for KS test and computes confidence interval for KS test stat.

Description

Usage

Arguments

Value

References

Examples