PCAES {Dowd} | R Documentation |
Estimates ES by principal components analysis
Description
Estimates the ES of a multi position portfolio by principal components analysis, using chosen number of principal components and a specified confidence level or range of confidence levels.
Usage
PCAES(Ra, position.data, number.of.principal.components, cl)
Arguments
Ra |
Matrix return data set where each row is interpreted as a set of daily observations, and each column as the returns to each position in a portfolio |
position.data |
Position-size vector, giving amount invested in each position |
number.of.principal.components |
Chosen number of principal components |
cl |
Chosen confidence level |
Value
ES
Author(s)
Dinesh Acharya
References
Dowd, K. Measuring Market Risk, Wiley, 2007.
Examples
# Computes PCA ES
Ra <- matrix(rnorm(4*6),4,6)
position.data <- rnorm(6)
PCAES(Ra, position.data, 2, .95)
[Package Dowd version 0.12 Index]