COINTEGRATION - HOW SHORT IS THE LONG-RUN

被引:274
作者
HAKKIO, CS [1 ]
RUSH, M [1 ]
机构
[1] UNIV FLORIDA,GAINESVILLE,FL 32611
关键词
D O I
10.1016/0261-5606(91)90008-8
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
When testing for cointegration and faced with short sample periods, it is common for researchers to turn to more frequently sampled observations, that is, to move from annual to quarterly or monthly data, in order to increase the number of observations. We argue that such a gain in the degrees of freedom is more apparent than real. Essentially, cointegration is a long-run concept and hence requires long spans of data to give tests for cointegration much power rather than merely large numbers of observations. Using Monte Carlo simulations, we demonstrate this for four popular tests for cointegration. © 1991.
引用
收藏
页码:571 / 581
页数:11
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