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Dowd (version 0.12)

NormalVaRHotspots: Hotspots for normal VaR

Description

Estimates the VaR hotspots (or vector of incremental VaRs) for a portfolio assuming individual asset returns are normally distributed, for specified confidence level and holding period.

Usage

NormalVaRHotspots(vc.matrix, mu, positions, cl, hp)

Arguments

vc.matrix
Variance covariance matrix for returns
mu
Vector of expected position returns
positions
Vector of positions
cl
Confidence level and is scalar
hp
Holding period and is scalar

Value

Hotspots for normal VaR

References

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

Examples

Run this code
# Hotspots for ES for randomly generated portfolio
   vc.matrix <- matrix(rnorm(16),4,4)
   mu <- rnorm(4,.08,.04)
   positions <- c(5,2,6,10)
   cl <- .95
   hp <- 280
   NormalVaRHotspots(vc.matrix, mu, positions, cl, hp)

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