Default Recovery Analysis

Default Recovery Analysis is a quantitative framework in credit risk modeling that specifically measures the expected financial recovery rate from defaulted tenants through asset repossession, legal proceedings, or settlement mechanisms, distinguishing it from broader default prediction models by focusing on post-default loss mitigation outcomes.

23

Publications

674

Citations

50

Authors

37

Institutions

Publications per year

2017–2026

2

Authors

50

  1. DM
    Daniel M. Covitz

    Federal Reserve, United States

    2 publications · 73 citations

    2

    h-index

  2. CI
    Carlos I. Medeiros

    International Monetary Fund, United States

    2 publications · 27 citations

    2

    h-index

  3. CC
    Christian Capuano

    International Monetary Fund, United States

    2 publications · 27 citations

    2

    h-index

  4. MS
    Marcos Souto

    International Monetary Fund, United States

    2 publications · 27 citations

    2

    h-index

  5. AS
    Andre Santos

    International Monetary Fund, United States

    2 publications · 27 citations

    2

    h-index

1–5 of 50

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 199 citations

    5

    h-index

  2. Journal of money credit and banking

    2 publications · 95 citations

    2

    h-index

  3. The Journal of Fixed Income

    2 publications · 57 citations

    2

    h-index

  4. Econstor (Econstor)

    Repository · 1 publications · 15 citations

    1

    h-index

  5. Pacific-Basin Finance Journal

    1 publications · 13 citations

    1

    h-index

1–5