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Tests for Cointegration Based on Canonical Correlation Analysis

 

作者: Ronald Bewley,   Minxian Yang,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1995)
卷期: Volume 90, issue 431  

页码: 990-996

 

ISSN:0162-1459

 

年代: 1995

 

DOI:10.1080/01621459.1995.10476600

 

出版商: Taylor & Francis Group

 

关键词: Maximum likelihood;Monte Carlo;Unit roots;Vector autoregression

 

数据来源: Taylor

 

摘要:

Critical values are provided for four new tests for cointegration based on the canonical correlations and variates of a development of the Box-Tiao procedure. It is found that in finite samples the power of three of these tests, unlike the power of Johansen's and Engle and Yoo's tests, is highly robust to the correlation between the disturbances in the cointegrating relationships and those generating the common trends. The proposed tests perform well against these alternatives, but neither set of tests dominates over the entire parameter space.

 

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