https://github.com/cran/tseries
Tip revision: 80176cf1f78bd5e88a9fa04e73db266cf8e082a8 authored by Kurt Hornik on 16 November 2021, 06:51:25 UTC
version 0.10-49
version 0.10-49
Tip revision: 80176cf
finance.R
## Copyright (C) 1997-2003 Adrian Trapletti
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2, or (at your option)
## any later version.
##
## This program 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
## General Public License for more details.
##
## A copy of the GNU General Public License is available via WWW at
## http://www.gnu.org/copyleft/gpl.html. You can also obtain it by
## writing to the Free Software Foundation, Inc., 59 Temple Place,
## Suite 330, Boston, MA 02111-1307 USA.
##
## Financial time series analysis
##
portfolio.optim <- function (x, ...) UseMethod ("portfolio.optim")
portfolio.optim.ts <-
function (x, ...)
{
if(!is.ts(x))
stop("method is only for time series")
if(NCOL(x) == 1)
stop("x is not a multivariate time series")
res <- portfolio.optim.default(as.matrix(x), ...)
res$px <- ts(res$px, start = start(x), frequency = frequency(x))
return(res)
}
portfolio.optim.default <-
function(x, pm = mean(x), riskless = FALSE, shorts = FALSE,
rf = 0.0, reslow = NULL, reshigh = NULL, covmat = cov(x), ...)
{
if(NCOL(x) == 1)
stop("x is not a matrix")
if(any(is.na(x)))
stop("NAs in x")
k <- dim(x)[2]
if(!is.matrix(covmat)) {
stop("covmat is not a matrix")
}
if((dim(covmat)[1] !=k) || (dim(covmat)[2] !=k)) {
stop("covmat has not the right dimension")
}
Dmat <- covmat
dvec <- rep.int(0, k)
big <- 1e+100
if(!is.null(reslow) && is.null(reshigh)) {
reshigh <- rep.int(big, k)
}
if(is.null(reslow) && !is.null(reshigh)) {
reslow <- -rep.int(big, k)
}
if(!is.null(reslow)) {
if(!is.vector(reslow)) {
stop("reslow is not a vector")
}
if(length(reslow) != k) {
stop("reslow has not the right dimension")
}
}
if(!is.null(reshigh)) {
if(!is.vector(reshigh)) {
stop("reshigh is not a vector")
}
if(length(reshigh) != k) {
stop("reshigh has not the right dimension")
}
}
if(riskless) {
a1 <- colMeans(x) - rf
if(shorts) {
a2 <- NULL
b2 <- NULL
}
else {
a2 <- matrix(0, k, k)
diag(a2) <- 1
b2 <- rep.int(0, k)
}
if(!is.null(reslow) && !is.null(reshigh)) {
a3 <- matrix(0, k, k)
diag(a3) <- 1
Amat <- t(rbind(a1, a2, a3, -a3))
b0 <- c(pm-rf, b2, reslow, -reshigh)
}
else {
Amat <- t(rbind(a1, a2))
b0 <- c(pm-rf, b2)
}
res <- solve.QP(Dmat, dvec, Amat, bvec=b0, meq=1)
}
else {
a1 <- rep.int(1, k)
a2 <- colMeans(x)
if(shorts) {
if(!is.null(reslow) && !is.null(reshigh)) {
a3 <- matrix(0, k, k)
diag(a3) <- 1
Amat <- t(rbind(a1, a2, a3, -a3))
b0 <- c(1, pm, reslow, -reshigh)
}
else {
Amat <- t(rbind(a1, a2))
b0 <- c(1, pm)
}
}
else {
a3 <- matrix(0, k, k)
diag(a3) <- 1
b3 <- rep.int(0, k)
if(!is.null(reslow) && !is.null(reshigh)) {
Amat <- t(rbind(a1, a2, a3, a3, -a3))
b0 <- c(1, pm, b3, reslow, -reshigh)
}
else {
Amat <- t(rbind(a1, a2, a3))
b0 <- c(1, pm, b3)
}
}
res <- solve.QP(Dmat, dvec, Amat, bvec=b0, meq=2)
}
y <- c(tcrossprod(res$solution, x))
ans <- list(pw = res$solution, px = y, pm = mean(y), ps = sd(y))
return(ans)
}
get.hist.quote <-
function(instrument = "^gdax", start, end,
quote = c("Open", "High", "Low", "Close"),
provider = c("yahoo"), method = NULL,
origin = "1899-12-30", compression = "d",
retclass = c("zoo", "ts"),
quiet = FALSE, drop = FALSE)
{
if(missing(start)) start <- "1991-01-02"
if(missing(end)) end <- format(Sys.Date() - 1, "%Y-%m-%d")
provider <- match.arg(provider)
retclass <- match.arg(retclass)
periodicity <- match.arg(compression,
c("daily", "weekly", "monthly"))
## Be nice.
ind <- pmatch(quote, "AdjClose", nomatch = 0L)
quote[ind] <- "Adjusted"
start <- as.Date(start)
end <- as.Date(end)
x <- getSymbols(instrument, src = "yahoo",
from = start, to = end, return.class = "zoo",
periodicity = periodicity, auto.assign = FALSE)
colnames(x) <- sub(".*\\.", "", colnames(x))
nser <- pmatch(quote, colnames(x))
if(any(is.na(nser)))
stop("this quote is not available")
n <- nrow(x)
dat <- index(x)
if(!quiet && (dat[1] != start))
cat(format(dat[1], "time series starts %Y-%m-%d\n"))
if(!quiet && (dat[n] != end))
cat(format(dat[n], "time series ends %Y-%m-%d\n"))
if(retclass == "ts") {
jdat <- unclass(julian(dat, origin = as.Date(origin)))
## We need unclass() because 1.7.0 does not allow adding a
## number to a "difftime" object.
ind <- jdat - jdat[1] + 1
y <- matrix(NA, nrow = max(ind), ncol = length(nser))
y[ind, ] <- as.matrix(x[, nser, drop = FALSE])
colnames(y) <- colnames(x)[nser]
y <- y[, seq_along(nser), drop = drop]
return(ts(y, start = jdat[1], end = jdat[n]))
} else {
x[ , nser, drop = drop]
}
}
maxdrawdown <-
function(x)
{
if(NCOL(x) > 1)
stop("x is not a vector or univariate time series")
if(any(is.na(x)))
stop("NAs in x")
cmaxx <- cummax(x)-x
mdd <- max(cmaxx)
to <- which(mdd == cmaxx)
from <- double(NROW(to))
for (i in 1:NROW(to))
from[i] <- max(which(cmaxx[1:to[i]] == 0))
return(list(maxdrawdown = mdd, from = from, to = to))
}
sharpe <-
function(x, r = 0, scale = sqrt(250))
{
if(NCOL(x) > 1)
stop("x is not a vector or univariate time series")
if(any(is.na(x)))
stop("NAs in x")
if(NROW(x) == 1)
return(NA)
else {
y <- diff(x)
return(scale * (mean(y)-r)/sd(y))
}
}
sterling <-
function(x)
{
if(NCOL(x) > 1)
stop("x is not a vector or univariate time series")
if(any(is.na(x)))
stop("NAs in x")
if(NROW(x) == 1)
return(NA)
else {
return((x[NROW(x)]-x[1]) / maxdrawdown(x)$maxdrawdown)
}
}
plotOHLC <-
function(x, xlim = NULL, ylim = NULL, xlab = "Time", ylab,
col = par("col"), bg = par("bg"), axes = TRUE,
frame.plot = axes, ann = par("ann"), main = NULL,
date = c("calendar", "julian"), format = "%Y-%m-%d",
origin = "1899-12-30", ...)
{
if ((!is.mts(x)) ||
(colnames(x)[1] != "Open") ||
(colnames(x)[2] != "High") ||
(colnames(x)[3] != "Low") ||
(colnames(x)[4] != "Close"))
stop("x is not a open/high/low/close time series")
xlabel <- if (!missing(x))
deparse(substitute(x))
else NULL
if (missing(ylab))
ylab <- xlabel
date <- match.arg(date)
time.x <- time(x)
dt <- min(lag(time.x)-time.x)/3
if (is.null(xlim))
xlim <- range(time.x)
if (is.null(ylim))
ylim <- range(x[is.finite(x)])
plot.new()
plot.window(xlim, ylim, ...)
segments(time.x, x[, "High"], time.x, x[, "Low"], col = col[1], bg = bg)
segments(time.x - dt, x[, "Open"], time.x, x[, "Open"],
col = col[1], bg = bg)
segments(time.x, x[, "Close"], time.x + dt, x[, "Close"],
col = col[1], bg = bg)
if (ann)
title(main = main, xlab = xlab, ylab = ylab, ...)
if (axes) {
if (date == "julian") {
axis(1, ...)
axis(2, ...)
}
else {
n <- NROW(x)
lab.ind <- round(seq(1, n, length.out = 5))
D <- as.vector(time.x[lab.ind]*86400) + as.POSIXct(origin, tz = "GMT")
DD <- format.POSIXct(D, format = format, tz ="GMT")
axis(1, at=time.x[lab.ind], labels=DD, ...)
axis(2, ...)
}
}
if (frame.plot)
box(...)
}