This paper introduces a kernel-based non-parametric inferential procedure to test for Granger causality in distribution. This test is a multivariate extension of the kernel-based Granger causality test in tail event introduced by Hong, Liu, and Wang (2009). The main advantage of this test is its ability to examine a large number of lags, with higher-order lags discounted. In addition, our test ...