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# 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
################################################################################
# FUNCTION: DESCRIPTION:
# portfolioBacktest Returns an object of class fPFOLIOBACKTEST
################################################################################
portfolioBacktest <-
function(
windows = list(
windows = "equidistWindows",
params = list(
horizon = "12m")),
strategy = list(
strategy = "tangencyStrategy",
params = list()),
smoother = list(
smoother = "emaSmoother",
params = list(
doubleSmoothing = TRUE,
lambda = "3m",
skip = 0,
initialWeights = NULL)),
messages = list() )
{
# A function implemented by William Chen and Diethelm Wuertz
# Description:
# Specifies a portfolio to be optimized from scratch
# Example:
# portfolioBacktest()
# Arguments:
# windows - rolling windows slot:
# windows - the name of the rollings windows function
# params - parameter list for windows settings:
# horizon - length of the rolling windows
# strategy - portfolio strategy slot:
# strategy - the name of the portfolio strategy function
# params - parameter list for strategy settings:
# smoother - smoother approach slot:
# smoother - the name of the portfolio weights smoother function
# params - parameter list for smoother settings:
# doubleSmoothing - a flag sould we double smooth the weights?
# lambda - length of the ema smoothing parameter
# skip - hoqw many periods should be skipped for smoothing ?
# initialWeights - vector of initial weights
# FUNCTION:
# Return Value:
new("fPFOLIOBACKTEST",
windows = windows,
strategy = strategy,
smoother = smoother,
messages = messages)
}
################################################################################
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