NormalESDFPerc: Percentiles of ES distribution function for normally...

In Dowd: Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's Book Measuring Market Risk

Description

Estimates the percentiles of ES distribution for normally distributed P/L data, for specified confidence level and holding period using the theory of order statistics.

Usage

NormalESDFPerc(...)

Arguments

...

The input arguments contain either return data or else mean and standard deviation data. Accordingly, number of input arguments is either 4 or 6. In case there 4 input arguments, the mean, standard deviation and number of samples is computed from return data. See examples for details. returns Vector of daily geometric return data mu Mean of daily geometric return data sigma Standard deviation of daily geometric return data n Sample size perc Desired percentile cl ES confidence level and must be a scalar hp ES holding period and must be a a scalar

Value

Percentiles of ES distribution function

Author(s)

Dinesh Acharya

References

Dowd, K. Measuring Market Risk, Wiley, 2007.

Examples

# Estimates Percentiles of ES distribution
   data <- runif(5, min = 0, max = .2)
   NormalESDFPerc(returns = data, perc = .7, cl = .95, hp = 60)

   # Estimates Percentiles given mean, standard deviation and number of sambles of return data
   NormalESDFPerc(mu = .012, sigma = .03, n= 10, perc = .8, cl = .99, hp = 40)

Dowd documentation built on May 2, 2019, 6:15 p.m.