library(mgarch)
> sim = mvBEKK.sim(series.count = 3, T = 1000)
Class attributes are accessible through following names:
length series.count order params true.params eigenvalues uncond.cov.matrix white.noise eps cor sd
> eps = data.frame(sim$eps[[1]], sim$eps[[2]], sim$eps[[3]]) # encapsulate
> est = mvBEKK.est(eps) # estimate the simulated model
警告信息:
In mvBEKK.est(eps) : negative inverted hessian matrix element
这个警告信息如何解决?非常感谢!
在R中SV模型应该用什么包?
package "SV"
可惜Windows binary: not available
主要是do not pass "R CMD check"
这我试过了
不过
Time series analysis and its applications with R examples _2ed
page 400/588 - 405/588
6.10 Stochastic Volatility
有个范例可参考
# fit SV model to NYSE returns- uses SVfilter
source("SVfilter.R")
y=matrix(scan("nyse.dat"),ncol=1)
......
......