# 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 # 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 = as.timeSeries(data(smallcap.ts)) data = data[, c("BKE", "GG", "GYMB", "KRON")] head(data) # Set Default Specifications: spec = portfolioSpec() spec # PortfolioData: portfolioData(data, spec) # Return Value: return() } # ------------------------------------------------------------------------------ test.portfolioStatistics <- function() { # Load Data: data = as.timeSeries(data(smallcap.ts)) data = data[, c("BKE", "GG", "GYMB", "KRON")] head(data) # Set Default Specifications: spec = portfolioSpec() spec # PortfolioStatistics: portfolioStatistics(data, spec) # Return Value: return() } # ------------------------------------------------------------------------------ test.Extractors <- function() { # Load Data: data = as.timeSeries(data(smallcap.ts)) data = data[, c("BKE", "GG", "GYMB", "KRON")] if (!inherits(data, "fPFOLIODATA")) data = portfolioData(data) getData(data) getSeries(data) getNumberOfAssets(data) getStatistics(data) getMu(data) getSigma(data) # Return Value: return() } ################################################################################