High-frequency Return Dynamics

High-Frequency Return Dynamics is a theoretical framework that characterizes the temporal evolution and statistical behavior of asset returns at intraday intervals, distinguished by its focus on microstructure noise, irregular timing, and rapid volatility fluctuations inherent in high-frequency financial data.

56

Publications

4.8K

Citations

114

Authors

104

Institutions

Publications per year

2017–2026

18

Authors

114

  1. JH
    Jonathan H. Wright

    Johns Hopkins University, United States

    3 publications · 293 citations

    3

    h-index

  2. DB
    David Berger

    Uppsala University, Sweden

    3 publications · 293 citations

    3

    h-index

  3. SC
    Sergey Chernenko

    Purdue University West Lafayette, United States

    3 publications · 293 citations

    3

    h-index

  4. EH
    Edward Howorka

    Federal Reserve Board of Governors, United States

    3 publications · 293 citations

    3

    h-index

  5. AC
    Alain Chaboud

    Federal Reserve Board of Governors, United States

    3 publications · 293 citations

    3

    h-index

1–5 of 114

Venues

  1. SSRN Electronic Journal

    Repository · 10 publications · 415 citations

    10

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 4 publications · 133 citations

    4

    h-index

  3. 3

    h-index

  4. Journal of Statistical Mechanics Theory and Experiment

    JSTAT · 3 publications · 61 citations

    3

    h-index

  5. Review of Financial Studies

    2 publications · 977 citations

    2

    h-index

1–5