tVaRPlot2DHP function

Plots t VaR against holding period

Plots t VaR against holding period

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)

Author(s)

Dinesh Acharya

References

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

  • Maintainer: Dinesh Acharya
  • License: GPL
  • Last published: 2016-03-11

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