r - R中的DCC GARCH：观察次数

Question

我在 R 中运行 DCC GARCH 模型。代码附在下面。

dfm3dr<-data.frame(lnm3dr,lnreer)

ug_spec<-ugarchspec(mean.model = list(armaOrder=c(0,0)), variance.model = 
list(model="sGARCH",garchOrder=c(1,1)), distribution.model = "sstd")
ugm3dr<-ugarchfit(spec=ug_spec,data=dfm3dr$lnm3dr)
ugm3dreer<-ugarchfit(spec=ug_spec,data=dfm3dr$lnreer)


uspec.m3dr<-multispec(replicate(2,ugarchspec(mean.model = 
list(armaOrder=c(0,0)), variance.model = 
list(model="sGARCH",garchOrder=c(1,1)))))
multif.m3dr<-multifit(uspec.m3dr,dfm3dr)

specm3dr<-dccspec(uspec = uspec.m3dr, robust=TRUE, lag.criterion="SC", 
model="DCC",dccOrder = c(1,1),distribution =  "mvnorm")
fitm3dr<-dccfit(specm3dr,data=dfm3dr, solver="lbfgs", fit.control = 
list(eval.se=TRUE), fit=multif.m3dr)

covm3dr_1<-rcov(fitm3dr)
corm3dr_1<-rcor(fitm3dr)
cor_m3dr__reer<-corm3dr_1[2,1,]
cor_lnm3d__lnreer<-ts(data=cor_m3d__reer, start = 1994, frequency = 4,end = 
2017, deltat = 1/12)

plot(cor_lnm3d__lnreer)

代码在 200 次观察中运行良好。但是当我对它们进行少于 100 次观察时，我会遇到以下错误

  ugm3dr<-ugarchfit(spec=ug_spec,data=dfm3dr$lnm3dr)
 **Warning message:
  In .sgarchfit(spec = spec, data = data, out.sample = out.sample,  : 
  ugarchfit-->waring: using less than 100 data
  points for estimation**


Warning messages:
 1: In .sgarchfit(spec = spec, data = data, out.sample = out.sample,  : 
ugarchfit-->waring: using less than 100 data
 points for estimation

2: In .sgarchfit(spec = spec, data = data, out.sample = out.sample,  : 
ugarchfit-->waring: using less than 100 data
points for estimation

.dccfit 中的错误（规格 = 规格，数据 = 数据，out.sample = out.sample，求解器 = 求解器，：

dccfit-->error: 函数需要至少 100 个数据点才能运行

我想知道如何解决数据点可用性有限的问题。提前致谢，

普拉尚

标签： r