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A Note on Causality Tests.

Authors :
Zhidong Bai
Wing-Keung Wong
Bingzhi Zhang
Source :
International Journal of Intelligent Technologies & Applied Statistics; 2010, Vol. 3 Issue 2, p203-220, 18p
Publication Year :
2010

Abstract

The traditional linear Granger test has been widely used to examine the linear causality among several time series in bivariate settings as well as multivariate settings. Hiemstra and Jones (1994) develop a nonlinear Granger causality test in a bivariate setting to investigate the nonlinear causality between stock prices and trading volume. In this paper, we first discuss linear causality tests in multivariate settings and thereafter develop a non-linear causality test in multivariate settings. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19985010
Volume :
3
Issue :
2
Database :
Complementary Index
Journal :
International Journal of Intelligent Technologies & Applied Statistics
Publication Type :
Academic Journal
Accession number :
54784648