similar to: Finmetrics positions

Hello List, I've done some cursory searching but (so far) have struck out. Does anyone know if the R version of the S+ FinMetrics package is available? Best, Bill Vedder

Dear all, S+Finmetrics has a number of very specilised functions. I am particularly interested in the estimation of cointegrated VARs (chapter 12 of Zivot and Wang). In this context the functions coint() and VECM() stand out. I looked at package "dse1", but found no comparable functionality. Are there any other packages you could point me to? In general, are there efforts for

please !, what is the R equivalents for the S-plus package : S+FinMetrics thanks hassan [[alternative HTML version deleted]]

Is there a function in R that is equivalent to S-PLUS's seriesMerge(x1, x2, pos="union") where x1, and x2 are of class timeSeries seriesMerge is in S-PLUS's finmetrics. I looked into R's mergeSeries (in fSeries part of Rmetrics) but I could not make it behave quite the same. In R it expected a timeSeries object and a matrix of the same row count. In S-PLUS when using the

How can I get a single attribute value of an object ? I jhave the tiemSeries object > ts1 Open 2003-10-09 02:00:00 1.27 2003-10-10 02:00:00 1.25 2003-10-13 02:00:00 1.27 2003-10-14 02:00:00 1.29 When I unclass ts1 I get: > unclass(ts1) list() attr(,"Data") Open 2003-10-09 02:00:00 1.27 2003-10-10 02:00:00 1.25 2003-10-13 02:00:00 1.27

I'm trying to use garchFit from fSeries, with Student or Skewed Student conditionnal distribution. Let's say that eps (vector) is my series of daily log-returns: data(EuStockMarkets) eps = diff(log(EuStockMarkets[,"CAC"])) library(fSeries) g = garchFit(series = eps, formula.var = ~garch(2,2), cond.dist = "dstd") s = g at fit$series All the coefficients are ok

Hi, I apologize in advance if this is the wrong area to post this message. I would like to know if there is an "R" equivalent for the "S+finMetrics" package? I'd like to be able to use "R" to go through the examples provided in the book "Modeling Financial Time-Series with S-Plus" (E. Zivot and J. Wang). I was told that "R" and

Greetings, Are there R packages that perform time-series analyses - particularly estimation of ARIMA models along with unit-root tests? I know that FinMetrics in the S-Plus program will do it, but I'm looking for R packages, as well any reference material for estimating time-series' models in R. Thanks in advance, David --

Hi, I am trying to figure how to use dlm with constant terms (possibly time-dependent) added to both equations y_t = c_t + F_t\theta_t + v_t \theta_t = d_t + G_t\theta_{t-1} + w_t, in the way that S-PLUS Finmetrics does? Is there any straightforward way to transform the above to the default setup? Thanks, Tsvetan -------------------------------------------------------- NOTICE: If received in

Hi, I am trying to fit a GARCH(1,1) model to a financial timeseries using the 'garch' function in the tseries package. However the parameter estimates obtained sometimes match with those obtained using SAS or S-Plus (Finmetrics) and sometimes show a completely different result. I understand that this could be due to the way optimization of MLEs are done, however, I would appreciate any

Dear r list, I posted this on the S list last week since i'm using some of the FinMetrics functions on copula. Knowing there is a copula package in R, I figure this would be an appropriate forum to ask this question. I want to model inverse relationship between two (non-normal, non-symmetric) marginals with the gumbel copula, or with any copula. Say, x is lognormal and y is norm. Since

Hi, I am trying to create a perspective plot with Time on the x-axis, Underlying Price on the y-axis, and Option Price on the z-axis. But I don't like the way my x-axis is setup. Right now, Time is this sequence. Time = seq(from = 1/52, to = 1, by=1/52) That results in the x-axis going from 0 at the back, to 1 near the foreground corner.(If that makes any sense) I want to do the

I have a problem wirh R: After loding fBasics packages log funtion doesn't work like as fallow: Cenap ERDEMIR Hacettepe University Turkey > log(20) [1] 2.995732 > local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Loading required package: fImport Loading required package: fSeries Loading required package: robustbase

I have prices that I am finding difficult to compare with ==, > and >, due to precision. For example: the numbers should match, with '==', but they differ in the magnitude of 1e-14 due to bunch of calculations that I run on them. Programming with java, I am used to implementing a function that compares the difference between the numbers to a pre determined precision factor. This

I have a monthly price index series x, the related return series y = diff(log(x)) and a POSIXlt date-time variable dp. I would like to apply annual blocks to compute for example annual block maxima and mean of y. When studying the POSIX classes, in the first stage of the learning curve, I computed the maximum drawdown of x: > mdd <- maxdrawdown(x) > max.dd <- mdd$maxdrawdown > from

Hi all: I'm trying to plot two time series created in Rmetrics and label the x-axis with dates. I tried the following: dates <- as.Date(seriesPositions(x.agg)) r <- as.Date(range(dates)) ts.plot(x.agg@Data[,c(1,5)],gpars=list(ylab="Volume", lty=c(1:2),xaxt="n",main="Plot of Volume")) axis.Date(1, at=seq(r[1], r[2], length.out=10),

tmp <- c(-1,NA,NA,1,1,NA,NA,1) without using a loop, how can I replace all NAs in the list above with the previous none NA value in the list?

Is ther a signal handling model in R? similar to Perl's %SIG hash. I want to do fast clean up in my R code before exit when a kill signal is issued.

Is there a way to implement this faster than doing it in a loop. for (i in length(settle)-1:1) { settle[i] = settle[i+1]/(1 + settle.pct[i+1]) } I want to guarantee that i+1 is calculated before i

I have a file named "test.csv" with the following 3 lines: %y-%m-%d;VALUE 1999-01-01;100 2000-12-31;999 > read.table("test.csv", header = TRUE, sep = ";") delivers: X.y..m..d VALUE 1 1999-01-01 100 2 2000-12-31 999 I would like to see the following ... %y-%m-%d VALUE 1 1999-01-01 100 2 2000-12-31 999 Note, >