similar to: auto.arima problem

I found an example at http://www.bearcave.com/finance/random_r_hacks/kalman_smooth.html shown below. But it seems the structSSM function has been removed from KFAS library so it won't run. Does anyone know how to fix the code so that it runs? library(KFAS) library(tseries) library(timeSeries) library(zoo) library(quantmod) getDailyPrices = function( tickerSym, startDate, endDate ) {

> structSSM Is no longer part of KFAS. All you needed to do was: library(KFAS) ?KFAS and you would have seen that if you went to the index. A structural state space model is now built up from its components, much like in LM. Look at; ?SSModel -Roy > On Jul 29, 2017, at 9:26 PM, Staff <rbertematti at gmail.com> wrote: > > I found an example at >

On 2017-07-29 11:26 PM, Staff wrote: > I found an example at > http://www.bearcave.com/finance/random_r_hacks/kalman_smooth.html That example is signed by "Ian Kaplan". There's a box at the bottom of the page for you to email him. > shown > below. But it seems the structSSM function has been removed from KFAS > library or it never was part of

Both get.hist.quote, and its derivative priceIts, rely on download.file() to fetch financial data series from Yahoo! in .csv format. They allow for nice interactive demonstrations of what one can do with R. Unfortunately, both are currently broken as Yahoo! decided to add a somewhat useless html comment at the end of the csv 'stream', breaking the regular format of n rows with k columns.

Hello, I have a few questions concerning the DCC-GARCH model and its programming in R. So here is what I want to do: I take quotes of two indices - S&P500 and DJ. And the aim is to estimate coefficients of the DCC-GARCH model for them. This is how I do it: library(tseries) p1 = get.hist.quote(instrument = "^gspc",start = "2005-01-07",end =

Dear "R-listers" I've been trying to figure out how to annotate charts in ggplot (ie add text to line charts, highlighted boxes etc). By and large, I can get close to what i want with base graphics, but would ideally like to use ggplot whenever possible (additionally, i would like to add text labels automatically to the chart). The code is below I suspect I need to use geom_rect,

Dear R experts---I am struggling with memory and speed issues. Advice would be appreciated. I have a long data set (of financial stock returns, with stock name and trading day). All three variables, stock return, id and day, are irregular. About 1.3GB in object.size (200MB on disk). now, I need to merge the main data set with some aggregate data (e.g., the S&P500 market rate of return,

I am trying to extract one particular piece of data(Float) from all the data returned by yahooKeystats, but thus far I'm having no luck. This is what I've got so far: > library(fImport) Loading required package: timeSeries Loading required package: timeDate > data<-yahooKeystats("IBM") trying URL 'http://finance.yahoo.com/q/ks?s=IBM' Content type 'text/html;

Hello, I have a rather complex problem... I will have to explain everything in detail because I cannot solve it by myself...i just ran out of ideas. So here is what I want to do: I take quotes of two indices - S&P500 and DJ. And my first aim is to estimate coefficients of the DCC-GARCH model for them. This is how I do it: library(tseries) p1 = get.hist.quote(instrument =

Is there an elegant way to do operations (+/-/*/ / ) on zoo/xts objects when one serie is monthly (end of month) and the other daily (weekdays only) - typically a monthly economic indicator and a stock index price? Thanks, TDB -- View this message in context: http://r.789695.n4.nabble.com/How-to-do-operations-on-zoo-xts-objects-with-Monthly-and-Daily-periodicities-tp3558081p3558081.html

Hi all, I post it on both r-help and r-finance since I don't know where is most appropriate for this topic. Sorry if it bothers you. I did garch fitting on S&P500 monthly returns with garchFit from fSeries. I got same coefficients from all cond.dist except normal. I thought that is probabaly usual for the data. But when I play with it, I got another question. I plot skew normal with

https://rdrr.io/rforge/fractal/ https://cran.r-project.org/web/packages/fractal/fractal.pdf Hi, I am trying to learn about nonlinear time series, and fractal time series analysis in particular. I am interested in becoming proficient with the 'fractal' package. I have two specific questions: 1. I have a basic understanding of ARMA and ARIMA models. Can someone recommend

Hi all, I was trying garchFIt() of fSeries to fit volatility of monthly log returns of S&P500. I tried residuals of normal, student t, skew normal, skew t. But all innovations except normal got exaxtly same coefficients, even if I changed their parameters of skew and shape. Is this correct for the data or something wrong? I am attaching the code, thank you. Muster #GARCH analysis of

Hello, I have a rather complex problem... I will have to explain everything in detail because I cannot solve it by myself...i just ran out of ideas. So here is what I want to do: I take quotes of two indices - S&P500 and DJ. And my first aim is to estimate coefficients of the DCC-GARCH model for them. This is how I do it: library(tseries) p1 = get.hist.quote(instrument =

One of these days, RedHat might actually run me off!!!! AAAARGH!!!! Can anyone tell me how to get CentOS 4 to simply boot to the console in text mode? If I wanted a stinkin' GUI I would have installed winders! Now, my KVM and 25 foot cord is just too long to send a GUI signal across the room and I'm missing 50% of the screen.. striped vertically.. at about 1/8th inch spacing. Not

To whom it may concern: The help page for ?legend refers to a `title.cex` parameter, which suggests that the function has such a parameter. As far as I can tell, though, it doesn't; here's an example: > plot(1,1) > legend("topright",pch=1, legend="something", title="my legend", title.cex=2) Error in legend("topright", pch = 1, legend =

Right, that's my point. The help page mentions a `title.cex`, like I said; saying that `cex` sets the default `title.cex` sure implies to me (and presumably to the other people whose discussion I linked) that a `title.cex` parameter exists. Since no such parameter exists, this bit in the documentation is misleading (suggesting that there is a `title.cex` parameter which can be set, when there

> On 25 Mar 2017, at 00:39 , POLITZER-AHLES, Stephen [CBS] <stephen.politzerahles at polyu.edu.hk> wrote: > > To whom it may concern: > > > The help page for ?legend refers to a `title.cex` parameter, which suggests that the function has such a parameter. No it does not. All arguments are listed and documented, none of them is title.cex, and there's no

>>>>> POLITZER-AHLES, Stephen [CBS] <stephen.politzerahles at polyu.edu.hk> >>>>> on Sat, 25 Mar 2017 13:25:32 +0000 writes: > Right, that's my point. The help page mentions a > `title.cex`, like I said; saying that `cex` sets the > default `title.cex` sure implies to me (and presumably to > the other people whose discussion

Hello, I have a question about function arima.sim I tried to somulate a AR(1) process, with no innovation, no error term. I used this code: library(forecast) e=rnorm(100,mean=0,sd=0) series=arima.sim(model=list(ar=0.75),n=100,innov=e)+20 Then I tried to applicate ti this series auto.arima function: mod1<-auto.arima(series,stepwise=FALSE,trace=TRUE,ic='aicc') The best model returned