R/data.r

In shabbychef/madness: Automatic Differentiation of Multivariate Operations

# /usr/bin/r
#
# Copyright 2018-2018 Steven E. Pav. All Rights Reserved.
# Author: Steven E. Pav 
#
# This file is part of madness.
#
# madness is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# madness 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with madness.  If not, see <http://www.gnu.org/licenses/>.
#
# Created: 2018.08.25
# Copyright: Steven E. Pav, 2018
# Author: Steven E. Pav <steven@gilgamath.com>
# Comments: Steven E. Pav

#' @title Stock Returns Data
#' @description Historical weekly relative returns of common shares of IBM and AAPL, 
#' downloaded from Quandl.
#' @usage data(stock_returns)
#' @format A \code{data.frame} object with 1930 observations and 3 columns
#' The columns are defined as follows:
#' \describe{
#'  \item{\code{Date}}{The closing date at which the return was observed, as a \code{Date} object.
#'  These are Friday dates, ranging from January 1981 through December 2017.}
#'  \item{\code{AAPL}}{The simple returns of AAPL common shares, based on
#'  weekly (adjusted) close prices.  A value of \code{0.01} corresponds to a one percent return.
#'  Close prices are adjusted for splits and dividends by Quandl.}
#'  \item{\code{IBM}}{The simple returns of IBM common shares, based on
#'  weekly (adjusted) close prices.  A value of \code{0.01} corresponds to a one percent return.
#'  Close prices are adjusted for splits and dividends by Quandl.}
#' }
#' @source 
#' Data were collated from Quandl on August 25, 2018, from
#' \url{https://www.quandl.com/data/EOD/AAPL-Apple-Inc-AAPL-Stock-Prices-Dividends-and-Splits}
#' and 
#' \url{https://www.quandl.com/data/EOD/IBM-International-Business-Machines-Corporation-IBM-Stock-Prices-Dividends-and-Splits}.
#' @template etc
#' @name stock_returns 
#' @rdname stock_returns 
#' @docType data
#' @keywords data
#' @examples
#' data(stock_returns)
#' str(stock_returns)
"stock_returns"

#' @title Weekly Fama French 3 Factor Returns
#' @description The weekly returns of the 3 Fama French Factors: Market, the cap factor SMB, 
#' and the growth factor HML.
#' @format A \code{data.frame} object with 4800 observations and 5 columns.
#' The data run from July, 1926 through June, 2018.
#' As in the upstream source, the data are given in \emph{percents}, meaning a
#' value of 1.00 corresponds to a 1\% movement.
#' Note also that returns presumably are \sQuote{simple} returns, not log
#' returns, though this is not clarified by the upstream source.
#' The columns are defined as follows:
#' \describe{
#'  \item{\code{Date}}{The closing data, as a \code{Date} object. These are typically Saturdays.}
#'  \item{\code{Mkt}}{The Market weekly return. Note that the risk free rate has been added back
#'  to the excess returns published by the upstream source.}
#'  \item{\code{SMB}}{The cap factor weekly return.}
#'  \item{\code{HML}}{The growth factor weekly return.}
#'  \item{\code{RF}}{The risk-free rate, presumably as an weekly rate, though note that no corrections have been
#'  made for weekend effects when adding the risk-free rate back to the market
#'  rate.}
#' }
#' @source Kenneth French data library, via Quandl. 
#' See \url{http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html},
#' data description at \url{http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/Data_Library/f-f_factors.html}.
#' @template etc
#' @name wff3
#' @rdname wff3
#' @docType data
#' @keywords data
#' @examples
#' data(wff3)
#' str(wff3)
"wff3"

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