Plots the VaR of a portfolio against holding period assuming that P/L are t- distributed, for specified confidence level and holding period.
tVaRPlot2DHP(...)
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 P/L data data
mu Mean of daily P/L data data
sigma Standard deviation of daily P/L data data
df Number of degrees of freedom in the t distribution
cl VaR confidence level and must be a scalar
hp VaR holding period and must be a vector
Examples
# Computes VaR given P/L data data data <- runif(5, min =0, max =.2) tVaRPlot2DHP(returns = data, df =6, cl =.95, hp =60:90)# Computes VaR given mean and standard deviation of return data tVaRPlot2DHP(mu =.012, sigma =.03, df =6, cl =.99, hp =40:80)