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#' calculate single factor model (CAPM) alpha
#'
#' This is a wrapper for calculating a single factor model (CAPM) alpha.
#'
#' "Alpha" purports to be a measure of a manager's skill by measuring the
#' portion of the managers returns that are not attributable to "Beta", or the
#' portion of performance attributable to a benchmark.
#'
#' While the classical CAPM has been almost completely discredited by the
#' literature, it is an example of a simple single factor model,
#' comparing an asset to any arbitrary benchmark.
#'
#' @aliases SFM.alpha
#' @param Ra an xts, vector, matrix, data frame, timeSeries or zoo object of
#' asset returns
#' @param Rb return vector of the benchmark asset
#' @param Rf risk free rate, in same period as your returns
#' @author Peter Carl
#' @seealso \code{\link{CAPM.beta}} \code{\link{CAPM.utils}}
#' @references Sharpe, W.F. Capital Asset Prices: A theory of market
#' equilibrium under conditions of risk. \emph{Journal of finance}, vol 19,
#' 1964, 425-442. \cr Ruppert, David. \emph{Statistics and Finance, an
#' Introduction}. Springer. 2004. \cr
###keywords ts multivariate distribution models
#' @examples
#'
#' # First we load the data
#' data(managers)
#' CAPM.alpha(managers[,1,drop=FALSE],
#' managers[,8,drop=FALSE],
#' Rf=.035/12)
#' CAPM.alpha(managers[,1,drop=FALSE],
#' managers[,8,drop=FALSE],
#' Rf = managers[,10,drop=FALSE])
#' CAPM.alpha(managers[,1:6],
#' managers[,8,drop=FALSE],
#' Rf=.035/12)
#' CAPM.alpha(managers[,1:6],
#' managers[,8,drop=FALSE],
#' Rf = managers[,10,drop=FALSE])
#' CAPM.alpha(managers[,1:6],
#' managers[,8:7,drop=FALSE],
#' Rf=.035/12)
#' CAPM.alpha(managers[,1:6],
#' managers[,8:7,drop=FALSE],
#' Rf = managers[,10,drop=FALSE])
#'
#' @rdname CAPM.alpha
#' @export SFM.alpha CAPM.alpha
CAPM.alpha <- SFM.alpha <- function (Ra, Rb, Rf = 0)
{ # @author Peter Carl
# DESCRIPTION:
# This is a wrapper for calculating a CAPM alpha.
# Inputs:
# R: vector of returns for the asset being tested
# Rb: vector of returns for the benchmark the asset is being gauged against
# R and Rb are assumed to be matching periods
# Rf: risk free rate in the same periodicity as the returns. May be a vector
# of the same length as R and y.
# Output:
# CAPM alpha
# FUNCTION:
Ra = checkData(Ra)
Rb = checkData(Rb)
if(!is.null(dim(Rf)))
Rf = checkData(Rf)
Ra.ncols = NCOL(Ra)
Rb.ncols = NCOL(Rb)
xRa = Return.excess(Ra, Rf)
xRb = Return.excess(Rb, Rf)
pairs = expand.grid(1:Ra.ncols, 1:Rb.ncols)
alpha <-function (xRa, xRb)
{
merged = as.data.frame(na.omit(cbind(xRa, xRb)))
model.lm = lm(merged[,1] ~ merged[,2], merged)
alpha = coef(model.lm)[[1]]
alpha
}
result = apply(pairs, 1, FUN = function(n, xRa, xRb) alpha(xRa[,n[1]], xRb[,n[2]]), xRa = xRa, xRb = xRb)
if(length(result) ==1)
return(result)
else {
dim(result) = c(Ra.ncols, Rb.ncols)
colnames(result) = paste("Alpha:", colnames(Rb))
rownames(result) = colnames(Ra)
return(t(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
#
# $Id$
#
###############################################################################
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