A test for multivariate ARCH effects

被引:63
|
作者
Hacker, RS
Hatemi-J, A
机构
[1] Univ Skovde, Dept Econ, SE-54128 Skovde, Sweden
[2] Jonkoping Int Business Sch, SE-55111 Jonkoping, Sweden
[3] Lund Univ, Dept Stat, SE-22007 Lund, Sweden
关键词
D O I
10.1080/13504850500092129
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper extends Engle's LM test for ARCH affects to multivariate cases. The size and power properties of this multivariate test for ARCH effects in VAR models are investigated based on asymptotic and bootstrap distributions. Using the asymptotic distribution, deviations of actual size from nominal size do not appear to be very excessive. Nevertheless, there is a tendency for the actual size to overreject the null hypothesis when the nominal size is I % and underreject the null when the nominal size is 5% or 10%. It is found that using a bootstrap distribution for the multivariate LM test is generally superior in achieving the appropriate size to using the asymptotic distribution when (1) the nominal size is 5%; (2) the sample size is small (40 observations) and/or the VAR system is stable. With a small sample, the power of the test using the bootstrap distribution also appears better at the 5% nominal size.
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页码:411 / 417
页数:7
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