similar to: DCC-GARCH model

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 =

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 =

hi all, i am using a dcc model for my senior thesis, it looks at stock returns during times of market uncertainty. my current rfile is below. library(SparseM) library(quantreg) library(zoo) library(nortest) library(MASS) library(fEcofin) library(mvtnorm) library(ccgarch) library(stats) library(foreign) #dataset<-read.csv(file="xxxx",header=FALSE) attach(dataset);

Hello, I am trying to model a bivariate time series called 'residuals' as a dcc-garch model. I want to use the function dcc.estimation(a, A, B dcc.para, dvar, model) to estimate the parameters. No matter how I tried to define a, A and B, I always got the message "Error in constrOptim(theta = para, f = loglik.dcc2, gr = grad.dcc2, ui = resta, : initial value not

Dear list members, I'm trying to use DCC-GARCH model to estimate the correlation. I have downloeaded ccgarch packeage but can't understand some argument in the formula. dcc.estimation(inia, iniA, iniB, ini.dcc, dvar, model, method="BFGS", gradient=1, message=1) which is on R.Help I understand others except "ini.dcc" which is described as "a vector of initial

Hi, everyone, I currently run into a problem about DCC-Garch model. I use the package cc-garch and the function dcc.estimation. One of the output of this function is DCC matrix, which shows conditional correlation matrix at every time period you gives. However, I cannot figue out how the function calculate the conditional correlation matrix at the first time period, since there is no data to be

Dear R-help members, I am trying to plot annotate a filled contours plot (with filled.contour) with a grid of points. I have read ways of annotating it with individual points but not with grids in another matrix. Any ideas? Thank you very much. Dario ___________________________________ Dario Martin-Benito CIFOR-INIA Dpto. Sistemas y Recursos

Hi, I want to install dcc on CentOS 4.4 as I am ruunig Dual-Sendmail with amavisd-new. I am looking for DCC RPM pkg. I searchrd bit I could not find any RPM pkg. Pls help me to find DCC RPM pkg. Have you installed DCC on CentOS 4.4. then Pls guide me. -- Thank you Indunil Jayasooriya -------------- next part -------------- An HTML attachment was scrubbed... URL:

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https://bugzilla.netfilter.org/bugzilla/show_bug.cgi?id=440 Summary: Space in filename causes Forged DCC command from x.x.x.x: 0.0.0.0:0 Product: netfilter/iptables Version: linux-2.6.x Platform: All OS/Version: All Status: NEW Severity: normal Priority: P2 Component: NAT

I have been given a set of "firewall rules" to open my firewall for DCC to support my spam filtering. (I have done many web searches trying to find info relating to DCC with Shorewall, to no avail. The problem is that I am clueless on how these "rules" translate into the shorewall rule format. Could someone please help me translate these? allow udp local gt 1023 to remote

Hello, I am trying to complete a response function analysis using the command dcc in the package 'bootRes'. Here is my code: DC<-read.table("Dalton.txt", header=T) climate<-read.table("climate.txt", header=T) dcc.DC<-dcc(DC, climate, method ="response", start = -4, end =9) My data is formatted correctly for this analysis, with 'DC' being a

Dear useRs, I am stuck with a piece of code and hope you could give me some pointers. My aim is to calculate the lm-regression coefficients of individual stocks against an index. I am interested in both the coefficient and the pval. While I could do this manually for a select hand full, I hope to scale this up say for 30+ stocks (DAX-30, FTSE-100 etc.) to eventually have a matrix of coefficients

Hi! Already searched for it and asked in IRC channel but all replies talk about ip_conntrack_irc and ip_nat_irc. I have a rule in 'NEW' section of 'shorewall/rules' to irc: ACCEPT fw net tcp 6667 #IRC and 'lsmod|grep irc' shows: ip_nat_irc 3648 0 ip_nat 22572 8 [...] ip_conntrack_irc

Hi, the snippet of code below works, but I would like to know how to feed the function merge.zoo the contents of CADstocknames rather than having to hard code it into the merge.zoo command. I think I must be missing something simple, but I cannot for the life of me figure it out. Thanks in advance for any enlightenment offered. library(zoo) CADstocknames <-

All, I have been just recently working with zoo objects for trading systems. Can someone please help with these basic questions? Given a daily time series downloaded using get.hist.quote() from the tseries package, ie...... startDate= as.Date("2000-01-01") endDate= as.Date("2011-01-29") frequency= 'd' s= get.hist.quote('IWF', start= startDate, end=

Dear list members, I want to apply AR(1)-GARCH(1,1) model in order to conduct a test of structural shifts in conditional correlations which I previously estimated. To be more exact, first, I estimate the conditional correlations using the DCC-GARCH model. Now I want to check whether these correlations significantly increased after the crisis began. For that reason I have to use dummy variable

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 ) {

Dear R Gurus, Thanks for any help in advance! Date.frame: Returns.names X id ticker date_ adjClose totret RankStk 258060 258060 13645T10 CP 2001-06-29 18.125 1877.758 My data frame is in the above format. I would like to filter by period, per id (every 125 days) each consisting of 250 days, I.e. 1-250, 126-375, etc. One important thing to note is that not all

Sample Data.Frame format Name is Returns.nodup X id ticker date_ adjClose totret RankStk 427225 427225 00174410 AHS 2001-11-13 21.66 100 1235 "id" uniquely defines a row What I am trying to do is filter out id's that have less than 1500 data points (by date) First, I used total<-by(Returns.nodup, Returns.nodup$id,nrow) which subsetted by