事实上,也有叫座英文书有这方面的说明,操作过程不是用编程方法,而是用对话视窗方式完成,也就是说你想避开编程的麻烦,也是可以在 EViews完成。 Brooks的Introductory Econometrics for Finance第二版第441页 "8.29 Estimating multivariate GARCH models using EViews" 有详细的说明。只是有人看到英文就打退堂鼓。我希望网友尝试看一下,英文真的不难懂。这本书本站是找得到的。
最后分享一本对我也有帮助很大的书,Xekalaki, E.; Degiannakis, S. (2010) "ARCH Models for Financial Applications," Wiley: Hoboken, NJ, USA. 第11章,该书介绍了多个多元 GARCH 模型,也附上EViews程式码和 OXMetrics的G@RCH程式码。 我附上 EViews程式码内容和 workfile档。
load chapter11_data.wf1
smpl @all
'______Diag-BEKK(1,1) with Student t distributed innovations____
system bekk
bekk.append ftse100ret = c(1)
bekk.append goldret = c(2)
bekk.append sp500ret = c(3)
bekk.append usukret = c(4)
bekk.arch(deriv=aa, tdist) @diagbekk c(indef) arch(1,diag) garch(1,diag)
'______Diag-VECH(1,1) with GJR-type asym effects and Student t innovations____
system vech
vech.append ftse100ret = c(1)
vech.append goldret = c(2)
vech.append sp500ret = c(3)
vech.append usukret = c(4)
vech.arch(deriv=aa, tdist) @diagvech c(indef) arch(1,diag) tarch(1,diag) garch(1,diag)
'______CCC-ARCH with GJR-type asym effects and Student t innovations____
system ccc
ccc.append ftse100ret = c(1)
ccc.append goldret = c(2)
ccc.append sp500ret = c(3)
ccc.append usukret = c(4)
ccc.arch(deriv=aa, tdist) @ccc c arch(1) tarch(1) garch(1)
save chapter11_data.output.wf1
chapter11_data.rar
(79.78 KB)
本附件包括:- chapter11_data.wf1


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