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High-frequency jump tests: Which test should we use?

delete2020-12-01
delete16
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OA
AI
W
Worapree Maneesoonthorn
G
Gael M. Martin *
C
Catherine Forbes
DOI:10.1016/j.jeconom.2020.03.012delete
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摘要

摘要

En 中文
We conduct an extensive evaluation of price jump tests based on high-frequency finan-cial data. After providing a concise review of multiple alternative tests, we document the size and power of all tests in a range of empirically relevant scenarios. Particular focus is given to the robustness of test performance to the presence of jumps in volatility and microstructure noise, and to the impact of sampling frequency. The paper concludes by providing guidelines for empirical researchers about which test to choose in any given setting. (c) 2020 Elsevier B.V. All rights reserved.
Keyword:
Price jump tests
Nonparametric jump measures
Bivariate jump diffusion model
Volatility jumps
Microstructure noise
Sampling frequency
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期刊

Journal of Econometrics 封面图
Journal of Econometrics
IF:
4
论文数:
5.3K
被引数:
3.0W

机构

M
Monash University
学者数:
5.4W
论文数: 5.4W
被引数: 79
U
university of melbourne
学者数:
5.7W
论文数: 5.4W
被引数: 69
引用论文

引用论文

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