#'@title
#'Rolling Economic Max
#'
#'@description
#'Rolling Economic Max at time t, looking back at portfolio Wealth history
#'for a rolling window of length H is given by:
#'
#'\deqn{REM(t,h)=\max_{t-H \leq s}[(1+r_f)^{t-s}W_s]}
#'
#'Here rf is the average realized risk free rate over a period of length t-s. If the risk free rate is changing. This is used to compound.
#'
#'\deqn{ \prod_{i=s}^{t}(1+r_{i}.{\triangle}t)}
#'
#'here \eqn{r_i} denotes the risk free interest rate during \eqn{i^{th}} discrete
#'time interval \eqn{{\triangle}t}.
#'
#'@param R R an xts, vector, matrix, data frame, timeseries, or zoo object of asset return.
#'@param Rf risk free rate can be vector such as government security rate of return.
#'@param h Look back period
#'@param geometric geometric utilize geometric chaining (TRUE) or simple/arithmetic #'chaining(FALSE) to aggregate returns, default is TRUE.
#'@param ... any other variable
#'@author Pulkit Mehrotra
#'@seealso \code{\link{chart.REDD}} \code{\link{EconomicDrawdown}}
#'\code{\link{rollDrawdown}} \code{\link{REDDCOPS}} \code{\link{EDDCOPS}}
#'@examples
#'data(edhec)
#'rollEconomicMax(edhec,0.08,100)
#'@export
#'
rollEconomicMax<-function(R,Rf,h,geometric = TRUE,...){
# DESCRIPTION:
# calculates the Rolling Economic Max(REDD) for a return series.
# The risk free return(rf) and the lookback period(h) is taken as the input.
# FUNCTION:
x = checkData(R)
columns = ncol(x)
n = nrow(x)
columnnames = colnames(x)
rf = checkData(Rf)
nr = length(Rf)
if(nr != 1 && nr != n ){
stop("The number of rows of the returns and the risk free rate do not match")
}
index = NULL
#ERROR handling for cases when lookback period is greater than the number of rows
for(i in 1:ncol(x)){
if(length(na.omit(x[,i]))<h){
warning(paste("The lookback Period greater than rows eliminating series",columnnames[i]))
index = c(index,i)
columns = columns -1
}
}
if(!is.null(index)){
x = x[,-index]
columnnames = columnnames[-index]
}
REM<-function(x,geometric){
if(geometric)
Return.cumulative = cumprod(1+x)
else Return.cumulative = 1 + cumsum(x)
l = length(Return.cumulative)
if(nr == 1){
REM = max(Return.cumulative*(1+rf)^(l-c(1:l)))
}
else{
prodRf = prod(1+rf)
REM = max(Return.cumulative*as.numeric(last(prodRf)/prodRf))
}
result = REM
}
for(column in 1:columns){
column.drawdown <- apply.rolling(x[,column],width = h, FUN = REM, geometric = geometric)
if(column == 1)
rolldrawdown = column.drawdown
else rolldrawdown = merge(rolldrawdown, column.drawdown)
}
colnames(rolldrawdown) = columnnames
rolldrawdown = reclass(rolldrawdown, x)
return(rolldrawdown)
}
###############################################################################
# R (http://r-project.org/) Econometrics for Performance and Risk Analysis
#
# Copyright (c) 2004-2014 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: REM.R $
#
##############################################################################
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