Multivariate Linear and Non-Linear Causality Tests

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

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Year of publication:	2010
Authors:	Bai, Zhidong ; Zhang, Bingzhi ; Wong, Wing-Keung
Publisher:	[S.l.] : SSRN
Subject:	Kausalanalyse \| Causality analysis \| Statistische Methodenlehre \| Statistical theory \| Schätztheorie \| Estimation theory \| Multivariate Analyse \| Multivariate analysis

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