High-Frequency Jump Tests: Which Test Should We Use?
Worapree Maneesoonthorn,
Gael M. Martin and
Catherine Forbes
Papers from arXiv.org
Abstract:
We conduct an extensive evaluation of price jump tests based on high-frequency financial 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.
Date: 2017-08, Revised 2020-01
New Economics Papers: this item is included in nep-ecm and nep-mst
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://arxiv.org/pdf/1708.09520 Latest version (application/pdf)
Related works:
Journal Article: High-frequency jump tests: Which test should we use? (2020) 
Working Paper: High-Frequency Jump Tests: Which Test Should We Use? (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1708.09520
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().