Noise-corrected Estimation
Noise-Corrected Estimation is a statistical methodology in high-frequency data analysis that belongs to the class of estimation techniques designed for financial time series, distinguished by its explicit adjustment for microstructure noise to yield consistent and efficient estimates of latent price dynamics.
224
Publications
20.5K
Citations
440
Authors
317
Institutions
Publications per year
2017–2026
34
Parents
224
Lan Zhang, Per A. Mykland, Yacine Aı̈t-Sahalia · Journal of the American Statistical Association · 2005 · 1.3K citations
1–5 of 224
440
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317

Aarhus University
Aarhus, Denmark
12 h-index
23 publications
4.4K citations
University of Chicago
Chicago, United States
10 h-index
12 publications
1.7K citations
Princeton University
Princeton, United States
9 h-index
10 publications
1.6K citations

National Bureau of Economic Research
Cambridge, United States
8 h-index
9 publications
315 citations
Stanford University
Stanford, United States
7 h-index
7 publications
2.8K citations
Federal Reserve
Washington D.C., United States
6 h-index
7 publications
882 citations
Copenhagen Business School
Copenhagen, Denmark
6 h-index
6 publications
779 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
10 publications
441 citations
1–8 of 317
Repository · 25 publications · 1.8K citations
20
h-index
12 publications · 799 citations
12
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JBES · 5 publications · 1.5K citations
5
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4 publications · 106 citations
4
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4 publications · 1.8K citations
4
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1–5