Autocorrelation Of Forecast Errors

Autocorrelation of Forecast Errors is the statistical measure that quantifies the degree of similarity between forecast errors separated by a specific time lag, serving as an indicator of systematic temporal dependencies in the residuals of a forecasting model.

128

Publications

28K

Citations

278

Authors

169

Institutions

Publications per year

2017–2026

17

Authors

278

  1. BM
    Benjamin M. Adams

    ETH Zurich, Switzerland

    5 publications · 200 citations

    5

    h-index

  2. SD
    Sean D. Campbell

    Federal Reserve Board of Governors, United States

    3 publications · 257 citations

    3

    h-index

  3. SA
    Steven A. Sharpe

    Federal Reserve, United States

    3 publications · 257 citations

    3

    h-index

  4. EH
    Edward Herbst

    Federal Reserve Board of Governors, United States

    3 publications · 91 citations

    3

    h-index

  5. RF
    Robert Fildes

    Lancaster University, United Kingdom

    3 publications · 245 citations

    3

    h-index

1–5 of 278

Venues

  1. International Journal of Forecasting

    11 publications · 541 citations

    10

    h-index

  2. SSRN Electronic Journal

    Repository · 8 publications · 275 citations

    8

    h-index

  3. 5

    h-index

  4. Technometrics

    5 publications · 71 citations

    5

    h-index

  5. Journal of Econometrics

    5 publications · 409 citations

    5

    h-index

1–5