Naïve Forecasting

Naïve Forecasting is a forecasting method that assumes the best prediction for the next time period is simply the most recently observed value, distinguishing itself from other time series models by its reliance on minimal assumptions and absence of parameter estimation or structural analysis.

48

Publications

1.9K

Citations

118

Authors

69

Institutions

Publications per year

2017–2026

17

Variants

Naive Forecasting

Authors

118

  1. JL
    Jesper Lindé

    Swedish National Bank, Sweden

    2 publications · 96 citations

    2

    h-index

  2. KR
    Kasper Roszbach

    Swedish National Bank, Sweden

    2 publications · 96 citations

    2

    h-index

  3. TJ
    Tor Jacobson

    Swedish National Bank, Sweden

    2 publications · 96 citations

    2

    h-index

  4. MS
    Markus Spiwoks

    University of Göttingen, Germany

    2 publications · 26 citations

    2

    h-index

  5. KB
    Kilian Bizer

    University of Göttingen, Germany

    2 publications · 26 citations

    2

    h-index

1–5 of 118

Venues

  1. Journal of Accounting Research

    JAR · 2 publications · 111 citations

    2

    h-index

  2. Financial Review

    FR · 2 publications · 34 citations

    2

    h-index

  3. Nature Communications

    1 publications · 29 citations

    1

    h-index

  4. Space Weather

    1 publications · 19 citations

    1

    h-index

  5. Annals of Operations Research

    1 publications · 17 citations

    1

    h-index

1–5