Alternative Data Scoring

Alternative Data Scoring is a credit scoring methodology that distinguishes itself from traditional approaches by incorporating non-traditional data sources—such as utility payments, rental histories, social media activity, or behavioral metrics—to assess creditworthiness, particularly for individuals with limited or no conventional credit histories.

4

Publications

238

Citations

7

Authors

8

Institutions

Publications per year

2017–2026

3

Authors

7

  1. SG
    Sudip Gupta

    Johns Hopkins University, United States

    1 publications · 26 citations

    1

    h-index

  2. PG
    Pulak Ghosh

    Indian Institute of Management Bangalore, India

    1 publications · 26 citations

    1

    h-index

  3. BJ
    B. Jan McCulloch

    University of Kentucky, United States

    1 publications · 12 citations

    1

    h-index

  4. SA
    Sumit Agarwal

    National University of Singapore, Singapore

    1 publications · 26 citations

    1

    h-index

  5. MD
    Matthew Dixon

    Illinois Institute of Technology, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 7

Venues

  1. SSRN Electronic Journal

    Repository · 1 publications · 26 citations

    1

    h-index

  2. Women & Health

    1 publications · 12 citations

    1

    h-index

  3. Quantitative Finance

    1 publications · 21 citations

    1

    h-index

  4. Competition & Change

    1 publications · 179 citations

    1

    h-index

  5. Financial Innovation

    1 publications · 19 citations

1–5