Multivariate causality tests with simulation and application

被引:20
作者
Bai, Zhidong [3 ,4 ]
Li, Heng [5 ]
Wong, Wing-Keung [1 ,2 ]
Zhang, Bingzhi [6 ]
机构
[1] Hong Kong Baptist Univ, Dept Econ, Kowloon Tong, Hong Kong, Peoples R China
[2] Hong Kong Baptist Univ, Inst Computat Math, Kowloon Tong, Hong Kong, Peoples R China
[3] NE Normal Univ, Sch Math & Stat, KLASMOE, Changchun, Peoples R China
[4] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117548, Singapore
[5] Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
[6] Columbia Univ, Dept Biostat, New York, NY 10027 USA
关键词
Linear Granger causality; Nonlinear Granger causality; U-statistics; Simulation; Stock markets;
D O I
10.1016/j.spl.2011.02.031
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper extends the test established by Hiemstra and Jones (1994) to develop a nonlinear causality test in a multivariate setting. A Monte Carlo simulation is conducted to demonstrate the superiority of our proposed multivariate test over its bivariate counterpart. In addition, we illustrate the applicability of our proposed test for analyzing the relationships among different Chinese stock market indices. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:1063 / 1071
页数:9
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