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Testing for changing volatility

delete2018-06-06
delete7
PRE
AI
J
Jilin Wu *
Z
Zhijie Xiao
DOI:10.1111/ectj.12108delete
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Abstract

Abstract

En 中文
In this paper, we propose a consistent U-statistic test with good sampling properties to detect changes in volatility. We show that the test has a limiting standard normal distribution under the null hypothesis, and that it is powerful compared with various alternatives. A Monte Carlo experiment is conducted to highlight the merits of the proposed test relative to other popular tests for structural changes in volatility. An empirical example is examined to demonstrate the practical application of the proposed testing method.
Keywords:
Cross-validation
Nonparametric
U-statistic
Volatility changes

Journal

Econometrics Journal cover
Econometrics Journal
IF:
7
Papers:
565
Citations:
2.3K

Organization

B
Boston College
Scholars:
5.5K
Papers: 5.2K
Citations: 8.8K
S
shandong university
Scholars:
9.4W
Papers: 6.4W
Citations: 94