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A Note on Causality Tests.
- 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