High-frequency Forecasting

High-Frequency Forecasting is a short-term forecasting methodology that specifically leverages densely sampled, high-frequency data to capture rapid temporal dynamics and enable precise, near real-time predictions, distinguishing it from conventional forecasting approaches that operate on lower-frequency or aggregated time series data.

163

Publications

11.2K

Citations

395

Authors

282

Institutions

Publications per year

2017–2026

83

Authors

395

  1. PM
    Péter Molnár

    University of Stavanger, Norway

    5 publications · 426 citations

    5

    h-index

  2. KS
    Kevin Sheppard

    University of Oxford, United Kingdom

    5 publications · 1.6K citations

    5

    h-index

  3. JH
    Jonathan H. Wright

    Johns Hopkins University, United States

    4 publications · 304 citations

    4

    h-index

  4. AJ
    Andrew J. Patton

    Duke University, United States

    4 publications · 1.5K citations

    4

    h-index

  5. PS
    Pedro Santa‐Clara

    National Bureau of Economic Research, United States

    3 publications · 1K citations

    3

    h-index

1–5 of 395

Venues

  1. SSRN Electronic Journal

    Repository · 19 publications · 729 citations

    14

    h-index

  2. Journal of Forecasting

    10 publications · 365 citations

    10

    h-index

  3. Expert Systems with Applications

    9 publications · 639 citations

    9

    h-index

  4. Quantitative Finance

    9 publications · 574 citations

    9

    h-index

  5. International Journal of Forecasting

    5 publications · 502 citations

    5

    h-index

1–5