The paper considers the Granger causality tests based on the hetersokedasticity-consistent covariance matrix of White (1980). The Monte Carlo experiments show that the conventional test over-rejects the null hypothesis of non-causality, while the proposed test works satisfactory. The proposed test also has enough power. Using the data for the Standard and Poor's 500 Composite Index, the paper examines the causalities among the return, volatility and trading volume.departmental bulletin pape
An increasing number of recent articles applying powerful tests for non-linear causality have fuelle...
A time series is said to Granger cause another series if it has incremental predictive power when fo...
A time series is said to Granger cause another series if it has incremental predictive power when fo...
The paper considers the Granger causality tests based on the hetersokedasticity-consistent covarianc...
In this paper we introduce a new nonparametric test for Granger non-causality which avoids the over-...
We address a consistency problem in the commonly used nonparametric test for Granger causality devel...
We address a consistency problem in the commonly used nonparametric test for Granger causality devel...
We propose a nonparametric estimator and a nonparametric test for Granger causality measures that qu...
We propose a nonparametric estimator and a nonparametric test for Granger causality measures that qu...
We propose a nonparametric estimator and a nonparametric test for Granger causality measures that qu...
Linear and nonlinear Granger causality tests are used to examine the dynamic relation between daily ...
This paper assesses the performance of linear and nonlinear causality tests in the presence of multi...
This paper assesses the performance of linear and nonlinear causality tests in the presence of multi...
This paper proposes an extension of the Granger (1969) causality definition to panel data models with...
Nowadays, Granger causality tests are standard tools to investigate causal relationships between fin...
An increasing number of recent articles applying powerful tests for non-linear causality have fuelle...
A time series is said to Granger cause another series if it has incremental predictive power when fo...
A time series is said to Granger cause another series if it has incremental predictive power when fo...
The paper considers the Granger causality tests based on the hetersokedasticity-consistent covarianc...
In this paper we introduce a new nonparametric test for Granger non-causality which avoids the over-...
We address a consistency problem in the commonly used nonparametric test for Granger causality devel...
We address a consistency problem in the commonly used nonparametric test for Granger causality devel...
We propose a nonparametric estimator and a nonparametric test for Granger causality measures that qu...
We propose a nonparametric estimator and a nonparametric test for Granger causality measures that qu...
We propose a nonparametric estimator and a nonparametric test for Granger causality measures that qu...
Linear and nonlinear Granger causality tests are used to examine the dynamic relation between daily ...
This paper assesses the performance of linear and nonlinear causality tests in the presence of multi...
This paper assesses the performance of linear and nonlinear causality tests in the presence of multi...
This paper proposes an extension of the Granger (1969) causality definition to panel data models with...
Nowadays, Granger causality tests are standard tools to investigate causal relationships between fin...
An increasing number of recent articles applying powerful tests for non-linear causality have fuelle...
A time series is said to Granger cause another series if it has incremental predictive power when fo...
A time series is said to Granger cause another series if it has incremental predictive power when fo...