Integrated Volatility Estimation
Integrated Volatility Estimation is a statistical methodology in high-frequency time series analysis that quantifies the total variation of a continuous-time stochastic process over a fixed interval by aggregating squared intraday returns, distinguished from alternative volatility measures by its theoretical consistency under microstructure noise and irregular sampling.
137
Publications
11.9K
Citations
166
Authors
161
Institutions
Publications per year
2017–2026
20
137
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161
University of Chicago
Chicago, United States
12 h-index
15 publications
2.3K citations

Aarhus University
Aarhus, Denmark
11 h-index
16 publications
3.1K citations
Princeton University
Princeton, United States
10 h-index
13 publications
938 citations
University of Illinois Chicago
Chicago, United States
9 h-index
10 publications
1.5K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
8 h-index
12 publications
540 citations
Ruhr University Bochum
Bochum, Germany
8 h-index
10 publications
976 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
9 publications
547 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
6 h-index
11 publications
313 citations
1–8 of 161
Repository · 21 publications · 765 citations
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14 publications · 1.7K citations
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7 publications · 482 citations
7
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Repository · 7 publications · 137 citations
7
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6 publications · 410 citations
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