The causal notions embodied in the concept of Granger causality have been argued to belong to a different category than those of Judea Pearl’s Causal Model, and so far their relation has remained obscure. Here, we demonstrate that these concepts are in fact closely linked by showing how each relates to straightforward notions of direct causality embodied in settable systems, an extension and re...

The concept of causality is naturally defined in terms of conditional distribution, however almost all the empirical works focus on causality in mean. This paper aim to propose a nonparametric statistic to test the conditional independence and Granger non-causality between two variables conditionally on another one. The test statistic is based on the comparison of conditional distribution funct...

T his paper investigates the existence of possible spillover effects among four main asset markets namely foreign exchange, stock, gold, and housing markets in Iran from 2002:03 to 2015:06. For this purpose, we have exploited Sigma-Point Kalman Filter (SPKF) to extract the bubble component of assets prices in the aforementioned Markets. Then, in order to analyze the price bubbles spi...

The development of port logistics and regional economy presents a linkage relationship. This paper resorted to the commonly used econometric software, namely Eviews, to undergo some empirical analysis. One of its applications, known as the Granger Causality Test, is to provide evidence about the direction of causality in economic relationships. The competitiveness of port city logistics evaluat...

The interaction of BRICS stock markets with the United States is studied using an asymmetric Granger causality test based on the frequency domain. This type of analysis allows for both positive and negative shocks over different horizons. There is a clear bivariate causality that runs both ways between the United States stock market and the respective BRICS markets. In addition, both negative a...

Causality discovery has been one of the core tasks in scientific research since the beginning of human scientific history. In the age of data tsunami, the task could involve millions of variables, which cannot be achieved feasibly by human. However, the causal discovery using artificial intelligence and statistical techniques in non-experimental settings faces several challenges. In this work, ...

As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application. To make Granger causality more computationally feasib...

The properties of Granger-causality tests are examined when applied to integrated time series. Recently presented results suggesting spurious causality in such circumstances are shown to be highly dependent upon the absence of deterministic terms from the causality testing equations. The analysis is completed by the examination of an alternative non-parametric causality test.

the relationship between economic growth and developments in the ‎financial sector has been one of the most discussed areas in economics ‎for a long time; and the direction of causality – whether financial ‎development causes economic growth or vice versa – is by no means a ‎settled issue.‎this paper investigates the short- run and long-run granger causality ‎between financial development and e...

Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure called the Granger causality to detect such relations. In this work we consider nonlinear extensions of Granger’s idea and refer to the result as Extended Granger Causality. A simple approach implementi...