search for: ccgarch

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

...AdjClose") p2 = get.hist.quote(instrument = "^dji",start = "2005-01-07",end = "2009-09-04",compression = "w", quote="AdjClose") p = cbind(p1,p2) y = diff(log(p))*100 y[,1] = y[,1]-mean(y[,1]) y[,2] = y[,2]-mean(y[,2]) T = length(y[,1]) library(ccgarch) library(fGarch) f1 = garchFit(~ garch(1,1), data=y[,1],include.mean=FALSE) f1 = f1@fit$coef f2 = garchFit(~ garch(1,1), data=y[,2],include.mean=FALSE) f2 = f2@fit$coef a = c(f1[1], f2[1]) A = diag(c(f1[2],f2[2])) B = diag(c(f1[3], f2[3])) dccpara = c(0.2,0.6) dccresults = dcc.estimation(inia=a,...

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); vardata=data.frame(dataset[,2],dataset[,4]) ### DCC ### #initial values a1 <- c(0.003, 0.001, 0.001) A1 <- diag(c(0.1,0.1,0.1)) B1 <- diag(c(0.1, 0.1, 0.1)) dcc.para <- c(0.01...

...AdjClose") p2 = get.hist.quote(instrument = "^dji",start = "2005-01-07",end = "2009-09-04",compression = "w", quote="AdjClose") p = cbind(p1,p2) y = diff(log(p))*100 y[,1] = y[,1]-mean(y[,1]) y[,2] = y[,2]-mean(y[,2]) T = length(y[,1]) library(ccgarch) library(fGarch) f1 = garchFit(~ garch(1,1), data=y[,1],include.mean=FALSE) f1 = f1 at fit$coef f2 = garchFit(~ garch(1,1), data=y[,2],include.mean=FALSE) f2 = f2 at fit$coef a = c(f1[1], f2[1]) A = diag(c(f1[2],f2[2])) B = diag(c(f1[3], f2[3])) dccpara = c(0.2,0.6) dccresults = dcc.estimation(in...

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 values for the DC...

...AdjClose") p2 = get.hist.quote(instrument = "^dji",start = "2005-01-07",end = "2009-09-04",compression = "w", quote="AdjClose") p = cbind(p1,p2) y = diff(log(p))*100 y[,1] = y[,1]-mean(y[,1]) y[,2] = y[,2]-mean(y[,2]) T = length(y[,1]) library(ccgarch) library(fGarch) f1 = garchFit(~ garch(1,1), data=y[,1],include.mean=FALSE) f1 = f1@fit$coef f2 = garchFit(~ garch(1,1), data=y[,2],include.mean=FALSE) f2 = f2@fit$coef a = c(f1[1], f2[1]) A = diag(c(f1[2],f2[2])) B = diag(c(f1[3], f2[3])) dccpara = c(0.2,0.6) dccresults = dcc.estimation(inia=a,...

CRAN (and crantastic) updates this week New packages ------------ * bdoc (1.0) Michael Anderson http://crantastic.org/packages/bdoc This package contains a function that will classify DNA barcodes as well as a few test and reference data sets. * bdsmatrix (1.0) Terry Therneau http://crantastic.org/packages/bdsmatrix This is a special case of sparse matrices, used by coxme and

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):