A comparison of cointegration tests

IF 0.6 4区 数学 Q4 MATHEMATICS, APPLIED
Petr Mariel
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引用次数: 5

Abstract

In this paper some of the cointegration tests applied to a single equation are compared. Many of the existent cointegration tests are simply extensions of the unit root tests applied to the residuals of the cointegrating regression and the habitual $H_{0}$ is no cointegration. However, some non residual-based tests and some tests of the opposite null hypothesis have recently appeared in literature. Monte Carlo simulations have been used for the power comparison of the nine selected tests ($ADF$, $\hat{Z}_{\alpha }$, $\hat{Z}_{t}$, $DHS$, $J1$, $H1$, $H2$, $C$, $LBI$) using several types of data generating processes.
协整检验的比较
本文对单方程的协整检验进行了比较。许多现有的协整检验只是单位根检验的扩展,应用于协整回归的残差,习惯的$H_{0}$是无协整的。然而,最近文献中出现了一些基于非残差的检验和一些相反零假设的检验。采用蒙特卡罗模拟方法对选定的9个测试($ADF$、$\hat{Z}_{\alpha }$、$\hat{Z}_{t}$、$DHS$、$J1$、$H1$、$H2$、$C$、$LBI$)进行了功率比较,并采用了几种类型的数据生成过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applications of Mathematics
Applications of Mathematics 数学-应用数学
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
3.0 months
期刊介绍: Applications of Mathematics publishes original high quality research papers that are directed towards applications of mathematical methods in various branches of science and engineering. The main topics covered include: - Mechanics of Solids; - Fluid Mechanics; - Electrical Engineering; - Solutions of Differential and Integral Equations; - Mathematical Physics; - Optimization; - Probability Mathematical Statistics. The journal is of interest to a wide audience of mathematicians, scientists and engineers concerned with the development of scientific computing, mathematical statistics and applicable mathematics in general.
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