High-frequency Correlation Modeling
High-Frequency Correlation Modeling is a statistical framework that captures the dynamic interdependencies among asset returns at ultra-high temporal resolutions by accounting for microstructure noise, non-synchronicity, and rapid time variation in correlations.
23
Publications
775
Citations
63
Authors
41
Institutions
Publications per year
2017–2026
2
Parents
23
Graph-based stock correlation and prediction for high-frequency trading systems
Tao Yin, Chenzhengyi Liu, Fangyu Ding et al. · Pattern Recognition · 2021 · 66 citations
Computing, Data Science, Finance +14
SEQUENTIAL TESTING FOR THE STABILITY OF HIGH-FREQUENCY PORTFOLIO BETAS
Alexander Aue, Siegfried Hörmann, Lajos Horváth et al. · Econometric Theory · 2011 · 61 citations
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41
New York University
New York, United States
3 h-index
3 publications
125 citations
Charles University
Prague, Czechia
2 h-index
3 publications
105 citations

National Bureau of Economic Research
Cambridge, United States
2 h-index
2 publications
36 citations

Pukyong National University
Busan, South Korea
1 h-index
1 publications
46 citations
University of Cape Coast
Cape Coast, Ghana
1 h-index
6 publications
222 citations
Istituto Nazionale per la Fisica della Materia
Genoa, Italy
1 h-index
2 publications
26 citations

University of Bergamo
Bergamo, Italy
1 h-index
3 publications
60 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
36 citations
1–8 of 41
4 publications · 112 citations
4
h-index
Repository · 3 publications · 77 citations
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1 publications · 20 citations
1
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1 publications · 61 citations
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1 publications · 66 citations
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