Realized Kernel Estimation
Realized Kernel Estimation is a nonparametric method for estimating daily integrated volatility that employs kernel-based weighting schemes to mitigate microstructure noise in high-frequency financial return data.
23
Publications
3.3K
Citations
34
Authors
38
Institutions
Publications per year
2017–2026
3
Parents
23
Realized kernels in practice: trades and quotes
Ole E. Barndorff–Nielsen, Peter Reinhard Hansen, Asger Lunde et al. · Econometrics Journal · 2009 · 673 citations
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38

Aarhus University
Aarhus, Denmark
6 h-index
9 publications
4.1K citations
University of Oxford
Oxford, United Kingdom
4 h-index
4 publications
2.1K citations
Stanford University
Stanford, United States
3 h-index
3 publications
2K citations
Humboldt-Universität zu Berlin
Berlin, Germany
3 h-index
3 publications
243 citations
University of Vienna
Vienna, Austria
2 h-index
2 publications
111 citations
Ritsumeikan University
Kyoto, Japan
1 h-index
1 publications
17 citations
New York University
New York, United States
1 h-index
1 publications
193 citations
Satya Wacana Christian University
Salatiga, Indonesia
1 h-index
1 publications
23 citations
1–8 of 38
Repository · 4 publications · 141 citations
4
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JBES · 3 publications · 161 citations
3
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3 publications · 227 citations
3
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2 publications · 95 citations
2
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2 publications · 214 citations
2
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1–5