Jump Detection
Jump Detection is a methodological framework within high-frequency time series analysis that identifies abrupt, discontinuous changes in the sample path of a stochastic process, distinguishing itself from continuous variation by isolating non-continuous, short-duration deviations attributable to exogenous shocks or market microstructure effects.
279
Publications
20K
Citations
532
Authors
375
Institutions
Publications per year
2017–2026
57
279
The Relative Contribution of Jumps to Total Price Variance
Xin Huang · Journal of Financial Econometrics · 2005 · 857 citations
1–5 of 279
532
11
h-index
11
h-index
8
h-index
8
h-index
8
h-index
1–5 of 532
375

Centre National de la Recherche Scientifique
Paris, France
11 h-index
18 publications
828 citations
Duke University
Durham, United States
11 h-index
16 publications
3.6K citations

Sorbonne Université
Paris, France
10 h-index
11 publications
1.9K citations
Princeton University
Princeton, United States
9 h-index
12 publications
1.4K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
7 publications
1.3K citations
University of Wisconsin–Madison
Madison, United States
7 h-index
11 publications
392 citations

University of Minnesota
Minneapolis, United States
6 h-index
8 publications
240 citations
Ruhr University Bochum
Bochum, Germany
5 h-index
7 publications
163 citations
1–8 of 375
Repository · 23 publications · 1.1K citations
16
h-index
13 publications · 1.1K citations
12
h-index
7 publications · 1.1K citations
7
h-index
Repository · 6 publications · 158 citations
6
h-index
6 publications · 203 citations
6
h-index
1–5