LogNormalESPlot2DHP: Plots log normal ES against holding period

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

Description

Plots the ES of a portfolio against holding period assuming that geometric returns are normal distributed, for specified confidence level and holding period.

Usage

LogNormalESPlot2DHP(...)

Arguments

...

The input arguments contain either return data or else mean and standard deviation data. Accordingly, number of input arguments is either 4 or 5. In case there 4 input arguments, the mean and standard deviation of data 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 investment Size of investment cl ES confidence level and must be a scalar hp ES holding period and must be a vector

Author(s)

Dinesh Acharya

References

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

Examples

# Computes ES given geometric return data
   data <- runif(5, min = 0, max = .2)
   LogNormalESPlot2DHP(returns = data, investment = 5, cl = .95, hp = 60:90)

   # Computes v given mean and standard deviation of return data
   LogNormalESPlot2DHP(mu = .012, sigma = .03, investment = 5, cl = .99, hp = 40:80)

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