table.DownsideRisk: Downside Risk Summary: Statistics and Stylized Facts

In guillermozbta/portafolio-master: Econometric tools for performance and risk analysis.

Description

Creates a table of estimates of downside risk measures for comparison across multiple instruments or funds.

Usage

table.DownsideRisk(R, ci = 0.95, scale = NA, Rf = 0, MAR = 0.1/12,
  p = 0.95, digits = 4)

Arguments

R	an xts, vector, matrix, data frame, timeSeries or zoo object of asset returns
ci	confidence interval, defaults to 95%
scale	number of periods in a year (daily scale = 252, monthly scale = 12, quarterly scale = 4)
Rf	risk free rate, in same period as your returns
MAR	Minimum Acceptable Return, in the same periodicity as your returns
p	confidence level for calculation, default p=.99
digits	number of digits to round results to

Author(s)

Peter Carl

See Also

DownsideDeviation
maxDrawdown
VaR
ES

Examples

data(edhec)
table.DownsideRisk(edhec, Rf=.04/12, MAR =.05/12, p=.95)

result=t(table.DownsideRisk(edhec, Rf=.04/12, MAR =.05/12, p=.95))
require("Hmisc")
textplot(format.df(result, na.blank=TRUE, numeric.dollar=FALSE,
         cdec=rep(3,dim(result)[2])), rmar = 0.8, cmar = 1.5,
         max.cex=.9, halign = "center", valign = "top", row.valign="center",
         wrap.rownames=15, wrap.colnames=10, mar = c(0,0,3,0)+0.1)
title(main="Downside Risk Statistics")

guillermozbta/portafolio-master documentation built on May 11, 2019, 7:20 p.m.