A Nonparametric Test for Granger Causality in Distribution With Application to Financial Contagion
分布 Granger 因果关系的非参数检验及其金融传染应用
This article introduces a kernel-based nonparametric 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. 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 is highly flexible because it can be used to identify Granger causality in specific regions on the distribution supports,…