Title(题名):  Uniform Test for Predictive Regression With AR Errors
Authors(作者):  Chenxue Li, Deyuan Li, and Liang Peng
Source title(刊名):  Journal of Business &Economic Statistics:A Publication of the American Statistical Association
Volume, Issue, Issue date
(卷,期,年):
 January2017,Vol35,Issue1
Pages(页码):  p29-39
ISSN:  0735-0015
Abstract(摘要):  Testing predictability is of importance in economics and finance. Based on a predictive regression model with independent and identically distributed errors, some uniform tests have been proposed in the literature without distinguishing whether the predicting variable is stationary or nearly integrated. In this article, we extend the empirical likelihood methods of Zhu, Cai. And Peng with independent errors to the case of an AR error process. Again, the proposed new tests do not need to know whether the predicting variable is stationary or nearly integrated. And whether it has a finite variance or an infinite variance. A simulation study shows the new methodologies perform wellin finite sample.
Key words(关键词):  AR errors: Empirical likelihood: Jackknife empirical likelihood; Predictive regression;Weighted score.
Where(馆藏地):  304外文报刊阅览室
Available online
(提交时间):
 2018/1/6 8:34:33
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