High-frequency Financial Data
High-Frequency Financial Data is a type of financial data characterized by observations recorded at very short time intervals, typically ranging from seconds to milliseconds, that capture the chronological sequence of transactions, quotes, or order book changes in electronic markets.
601
Publications
44.6K
Citations
1.1K
Authors
636
Institutions
Publications per year
2017–2026
199
601
High-Frequency Trading and Price Discovery
Jonathan Brogaard, Terrence Hendershott, Ryan Riordan · Review of Financial Studies · 2014 · 1.2K citations · Full text
Count (and count-like) data in finance
Jonathan B. Cohn, Zack Liu, Malcolm Wardlaw · Journal of Financial Economics · 2022 · 957 citations
1–5 of 601
1.1K
13
h-index
Lawrence Berkeley National Laboratory, United States
11 publications · 753 citations
11
h-index
10
h-index
10
h-index
10
h-index
1–5 of 1.1K
636
University of Chicago
Chicago, United States
16 h-index
22 publications
3.8K citations
Princeton University
Princeton, United States
16 h-index
25 publications
3K citations

Aarhus University
Aarhus, Denmark
13 h-index
25 publications
3.7K citations
University of Wisconsin–Madison
Madison, United States
10 h-index
19 publications
928 citations

Cornell University
Ithaca, United States
10 h-index
11 publications
3.2K citations
Humboldt-Universität zu Berlin
Berlin, Germany
10 h-index
14 publications
888 citations

University of Manchester
Manchester, United Kingdom
10 h-index
13 publications
600 citations
Duke University
Durham, United States
10 h-index
16 publications
2.2K citations
1–8 of 636
Repository · 88 publications · 3.4K citations
35
h-index
42 publications · 2.6K citations
26
h-index
31 publications · 1.8K citations
22
h-index
22 publications · 1.2K citations
19
h-index
18 publications · 1.4K citations
15
h-index
1–5