Regime-switching Forecasting

Regime-Switching Forecasting is a dynamic predictive modeling approach within financial forecasting that, unlike static models, explicitly accounts for structural changes in time series behavior by modeling transitions between distinct regimes governed by a stochastic process, thereby allowing forecasting performance to adapt to shifts in the underlying economic or financial environment.

99

Publications

5.1K

Citations

200

Authors

151

Institutions

Publications per year

2017–2026

27

Authors

200

  1. DW
    Derek W. Bunn

    London Business School, United Kingdom

    3 publications · 111 citations

    3

    h-index

  2. MG
    Massimo Guidolin

    Bocconi University, Italy

    3 publications · 53 citations

    3

    h-index

  3. DT
    David Turkington

    State Street (United States), United States

    2 publications · 192 citations

    2

    h-index

  4. KJ
    Kenneth J. Westrick

    University of Washington, United States

    2 publications · 258 citations

    2

    h-index

  5. KC
    Kuang‐Liang Chang

    National Chiayi University, Taiwan

    2 publications · 71 citations

    2

    h-index

1–5 of 200

Venues

  1. Journal of Forecasting

    10 publications · 570 citations

    10

    h-index

  2. SSRN Electronic Journal

    Repository · 7 publications · 223 citations

    7

    h-index

  3. International Journal of Forecasting

    4 publications · 228 citations

    4

    h-index

  4. International Journal of Finance & Economics

    IJFE · 3 publications · 138 citations

    3

    h-index

  5. Energy Economics

    3 publications · 275 citations

    3

    h-index

1–5