This paper proposes a nonparametric test of causality in quantile. Zheng (1998) has proposed an idea to reduce the problem of testing a quantile restriction to a problem of testing a particular type of mean restriction in independent data. We extend Zheng’s approach to the case of dependent data, particularly to the test of Granger causality in quantile. The proposed test statistic is shown to have a second-order degenerate U-statistic as a leading term under the null hypothesis. Using the result on the asymptotic normal distribution for a general second order degenerate U-statistics with weakly dependent data of Fan and Li (1996), we establish the asymptotic distribution of the test statistic for causality in quantile under ß-mixing (absol...
This paper proposes a new nonparametric test for conditional independence, which is based on the com...
We propose model-free measures for Granger causality in mean between random variables. Unlike the ex...
This paper proposes a new nonparametric test for conditional independence, which is based on the co...
This paper proposes a nonparametric test of causality in quantile. Zheng (1998) has proposed an idea...
This publication is with permission of the rights owner freely accessible due to an Alliance licence...
We consider measures of Granger causality in quantiles, which detect and quantify both linear and no...
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...
Financial support from the Natural Sciences and Engineering Research Council of Canada and from the...
In this paper we introduce a new nonparametric test for Granger non-causality which avoids the over-...
The concept of causality is naturally defined in terms of conditional distribution, however almost a...
Many important economic and finance hypotheses are investigated through testing the specification o...
We propose a nonparametric estimation and inference for conditional density based Granger causality ...
An information theoretic test for Granger causality for stationary weakly dependent time series is p...
This paper proposes a fully nonparametric procedure for testing conditional quantile independence. T...
This paper proposes a new nonparametric test for conditional independence, which is based on the com...
We propose model-free measures for Granger causality in mean between random variables. Unlike the ex...
This paper proposes a new nonparametric test for conditional independence, which is based on the co...
This paper proposes a nonparametric test of causality in quantile. Zheng (1998) has proposed an idea...
This publication is with permission of the rights owner freely accessible due to an Alliance licence...
We consider measures of Granger causality in quantiles, which detect and quantify both linear and no...
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...
Financial support from the Natural Sciences and Engineering Research Council of Canada and from the...
In this paper we introduce a new nonparametric test for Granger non-causality which avoids the over-...
The concept of causality is naturally defined in terms of conditional distribution, however almost a...
Many important economic and finance hypotheses are investigated through testing the specification o...
We propose a nonparametric estimation and inference for conditional density based Granger causality ...
An information theoretic test for Granger causality for stationary weakly dependent time series is p...
This paper proposes a fully nonparametric procedure for testing conditional quantile independence. T...
This paper proposes a new nonparametric test for conditional independence, which is based on the com...
We propose model-free measures for Granger causality in mean between random variables. Unlike the ex...
This paper proposes a new nonparametric test for conditional independence, which is based on the co...