# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General
# Public License along with this library; if not, write to the
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston,
# MA 02111-1307 USA
# Copyrights (C)
# for this R-port:
# 1999 - Diethelm Wuertz, GPL
# 2007 - Rmetrics Foundation, GPL
# Diethelm Wuertz <wuertz@itp.phys.ethz.ch>
# for code accessed (or partly included) from other sources:
# see Rmetric's copyright and license files
################################################################################
# FUNCTION: DESCRIPTION:
# portfolioData Creates portfolio data list
# portfolioStatistics Estimates mu and Sigma statistics
# FUNCTION: DESCRIPTION:
# getData
# getSeries Extracts assets series data
# getNumberOfAssets Extracts number of assets from statistics
# getStatistics Extracts assets statistics, mean and covariance
# getMu
# getSigma
# getTailrisk Extracts tail risk
################################################################################
test.portfolioData <-
function()
{
# Load Data:
data = SMALLCAP.RET
data = data[, c("BKE", "GG", "GYMB", "KRON")]
print(head(data))
# Set Default Specifications:
spec = portfolioSpec()
print(spec)
# PortfolioData:
pfolioData = portfolioData(data, spec)
print(pfolioData)
# Return Value:
return()
}
# ------------------------------------------------------------------------------
test.Extractors <-
function()
{
# Load Data:
data = SMALLCAP.RET
data = data[, c("BKE", "GG", "GYMB", "KRON")]
if (!inherits(data, "fPFOLIODATA")) data = portfolioData(data)
getData(data)
getSeries(data)
getStatistics(data)
getMu(data)
getSigma(data)
# Return Value:
return()
}
################################################################################
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