Nothing
#' Skewness-Kurtosis ratio of the return distribution
#'
#' Skewness-Kurtosis ratio is the division of Skewness by Kurtosis.
#'
#' It is used in conjunction with the Sharpe ratio to rank portfolios.
#' The higher the rate the better.
#'
#' \deqn{ SkewnessKurtosisRatio(R , MAR) = \frac{S}{K}}{SkewnessKurtosisRatio(R, MAR) = S/K}
#'
#' where \eqn{S} is the skewness and \eqn{K} is the Kurtosis
#'
#' @aliases Skewness-KurtosisRatio
#' @param R an xts, vector, matrix, data frame, timeSeries or zoo object of
#' asset returns
#' @param \dots any other passthru parameters
#' @author Matthieu Lestel
#' @references Carl Bacon, \emph{Practical portfolio performance measurement
#' and attribution}, second edition 2008 p.100
#'
###keywords ts multivariate distribution models
#' @examples
#'
#' data(portfolio_bacon)
#' print(SkewnessKurtosisRatio(portfolio_bacon[,1])) #expected -0.034
#'
#' data(managers)
#' print(SkewnessKurtosisRatio(managers['1996']))
#' print(SkewnessKurtosisRatio(managers['1996',1]))
#'
#' @export
SkewnessKurtosisRatio <-
function (R, ...)
{
R = checkData(R)
if (ncol(R)==1 || is.null(R) || is.vector(R)) {
calcul = FALSE
for (i in (1:length(R))) {
if (!is.na(R[i])) {
calcul = TRUE
}
}
R = na.omit(R)
if(!calcul) {
result = NA
}
else {
result = skewness(R, method = "moment") / kurtosis(R, method = "moment")
}
return(result)
}
else {
result = apply(R, MARGIN = 2, SkewnessKurtosisRatio, ...)
result<-t(result)
colnames(result) = colnames(R)
rownames(result) = paste("SkewnessKurtosisRatio", sep="")
return(result)
}
}
###############################################################################
# R (http://r-project.org/) Econometrics for Performance and Risk Analysis
#
# Copyright (c) 2004-2020 Peter Carl and Brian G. Peterson
#
# This R package is distributed under the terms of the GNU Public License (GPL)
# for full details see the file COPYING
#
# $Id$
#
###############################################################################
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.