Crisis Probability Models

Crisis Probability Models is a quantitative modeling framework within financial econometrics that distinguishes itself by estimating the likelihood of currency crises through early warning systems based on macroeconomic indicators and statistical or machine learning techniques.

141

Publications

8.6K

Citations

231

Authors

156

Institutions

Publications per year

2017–2026

30

Authors

231

  1. CP
    Catherine Pattillo

    International Monetary Fund, United States

    5 publications · 666 citations

    5

    h-index

  2. SB
    Steven B. Kamin

    Federal Reserve, United States

    5 publications · 193 citations

    5

    h-index

  3. ED
    Enrica Detragiache

    International Monetary Fund, United States

    5 publications · 460 citations

    5

    h-index

  4. AB
    Andrew Berg

    International Monetary Fund, United States

    5 publications · 666 citations

    5

    h-index

  5. AD
    Asli Demirgüç‐Kunt

    World Bank, United States

    4 publications · 440 citations

    4

    h-index

1–5 of 231

Venues

  1. SSRN Electronic Journal

    Repository · 29 publications · 1.2K citations

    19

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 8 publications · 182 citations

    8

    h-index

  3. IMF Working Paper

    8 publications · 322 citations

    8

    h-index

  4. 4

    h-index

  5. International Journal of Finance & Economics

    IJFE · 3 publications · 77 citations

    3

    h-index

1–5