Recursive adjusted unit root tests under non-stationary volatility

被引：2

作者：

Wang, Shaoping ^{[1
]}

Li, Yanglin ^{[1
]}

Wen, Kuangyu ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Econ, Wuhan, Hubei, Peoples R China

来源：

ECONOMICS LETTERS | 2021年 / 205卷

基金：

中国国家自然科学基金;

关键词：

Sino-US trade conflict; Recursive adjustment; Non-stationary volatility; Unit root tests; Structural break; TIME-SERIES; MEAN ADJUSTMENT; TREND; MODELS; BREAK; BIAS; NULL;

D O I：

10.1016/j.econlet.2021.109941

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study concerns the effect of non-stationary volatility on unit root tests with a structural break in which the deterministic component is recursively adjusted. We derive the asymptotic distributions of our proposed test statistics. Simulations show the new test has good finite sample performances under non-stationary volatility. Applying to the China and US stock markets during the 2018 Sino-US trade conflict, we find that both stock indexes are unit root processes with a structural break in intercept and trend. This corresponds to the day when the US and China agree on a 90-day halt to new tariffs. (C) 2021 Elsevier B.V. All rights reserved.

引用

页数：5

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