Vector Autoregression Forecasting

Vector Autoregression Forecasting is a multivariate time series forecasting method that models each variable as a linear function of its own past values and the past values of all other variables in the system, thereby capturing dynamic interrelationships among economic or financial variables for predictive analysis.

339

Publications

27.9K

Citations

632

Authors

418

Institutions

Publications per year

2017–2026

100

Authors

632

  1. RB
    Robert B. Litterman

    Federal Reserve Bank of Minneapolis, United States

    8 publications · 1.9K citations

    8

    h-index

  2. MM
    Massimiliano Marcellino

    Bocconi University, Italy

    8 publications · 513 citations

    8

    h-index

  3. FS
    Frank Schorfheide

    University of Pennsylvania, United States

    7 publications · 1K citations

    7

    h-index

  4. ML
    Michèle Lenza

    European Central Bank, Germany

    6 publications · 1.1K citations

    6

    h-index

  5. AC
    Andrea Carriero

    Bocconi University, Italy

    6 publications · 391 citations

    6

    h-index

1–5 of 632

Venues

  1. SSRN Electronic Journal

    Repository · 35 publications · 1.5K citations

    20

    h-index

  2. Journal of Forecasting

    22 publications · 914 citations

    18

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 17 publications · 5.5K citations

    16

    h-index

  4. International Journal of Forecasting

    14 publications · 645 citations

    13

    h-index

  5. Journal of Applied Econometrics

    11 publications · 2.3K citations

    10

    h-index

1–5