Turning Point Forecasting

Turning Point Forecasting is a methodological approach in economic forecasting that specifically identifies the precise moments of transition between expansionary and contractionary phases in the business cycle, distinguishing it from broader trend or level prediction techniques.

135

Publications

6.5K

Citations

225

Authors

144

Institutions

Publications per year

2017–2026

13

Authors

225

  1. MC
    Marcelle Chauvet

    University of California, Riverside, United States

    7 publications · 542 citations

    7

    h-index

  2. AO
    Ataman Ozyildirim

    Conference Board, United States

    5 publications · 180 citations

    5

    h-index

  3. TJ
    Travis J. Berge

    Federal Reserve Board of Governors, United States

    5 publications · 433 citations

    5

    h-index

  4. JP
    Jeremy Piger

    University of Oregon, United States

    5 publications · 501 citations

    5

    h-index

  5. DR
    Denise R. Osborn

    University of Manchester, United Kingdom

    4 publications · 133 citations

    4

    h-index

1–5 of 225

Venues

  1. SSRN Electronic Journal

    Repository · 15 publications · 499 citations

    13

    h-index

  2. Journal of Forecasting

    14 publications · 581 citations

    13

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 7 publications · 1.6K citations

    7

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 6 publications · 108 citations

    6

    h-index

  5. The Journal of Business

    JB · 4 publications · 569 citations

    4

    h-index

1–5