Co-jump Detection
Co-Jump Detection is a statistical method in financial econometrics that identifies simultaneous discontinuous price movements across multiple assets within high-frequency financial data, distinguishing itself from univariate jump detection by explicitly modeling cross-asset dependency structures to capture contemporaneous jumps induced by common market shocks.
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1.6K
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62
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51
Institutions
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2017–2026
10
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Jumps, cojumps and macro announcements
Jérôme Lahaye, Sébastien Laurent, Christopher J. Neely · Journal of Applied Econometrics · 2010 · 298 citations
Risk, jumps, and diversification
Tim Bollerslev, Tzuo Hann Law, George Tauchen · Journal of Econometrics · 2008 · 285 citations · Full text
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Lebanese American University
Beirut, Lebanon
2 h-index
2 publications
75 citations
Humboldt-Universität zu Berlin
Berlin, Germany
2 h-index
3 publications
107 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
4 publications
84 citations

Federal Reserve Bank of St. Louis
St Louis, United States
2 h-index
2 publications
325 citations
Freie Universität Berlin
Berlin, Germany
2 h-index
3 publications
107 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
2 publications
325 citations

University of Namur
Namur, Belgium
2 h-index
3 publications
623 citations
IPAG Business School
Paris, France
1 h-index
1 publications
32 citations
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2 publications · 350 citations
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2 publications · 296 citations
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2 publications · 75 citations
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Repository · 1 publications · 27 citations
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1 publications · 298 citations
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