High-frequency Data Forecasting

High-Frequency Data Forecasting is a forecasting methodology that belongs to the class of aggregate demand prediction techniques, distinguished by its reliance on data sampled at short temporal intervals to capture rapid dynamics and improve forecast accuracy in near-term horizons.

146

Publications

6.8K

Citations

366

Authors

237

Institutions

Publications per year

2017–2026

78

Authors

366

  1. JH
    Jonathan H. Wright

    Johns Hopkins University, United States

    6 publications · 457 citations

    6

    h-index

  2. DB
    David Berger

    Uppsala University, Sweden

    3 publications · 293 citations

    3

    h-index

  3. DM
    Dušan Marček

    University of Žilina, Slovakia

    3 publications · 54 citations

    3

    h-index

  4. MH
    Meng Han

    Ocean University of China, China

    3 publications · 446 citations

    3

    h-index

  5. EH
    Edward Howorka

    Federal Reserve Board of Governors, United States

    3 publications · 293 citations

    3

    h-index

1–5 of 366

Venues

  1. SSRN Electronic Journal

    Repository · 12 publications · 331 citations

    11

    h-index

  2. Expert Systems with Applications

    9 publications · 603 citations

    9

    h-index

  3. Quantitative Finance

    5 publications · 267 citations

    5

    h-index

  4. Journal of Forecasting

    4 publications · 168 citations

    4

    h-index

  5. Journal of risk and financial management

    JRFM · 4 publications · 131 citations

    4

    h-index

1–5