Treasury Analytics

Treasury Analytics is a quantitative and qualitative analytical framework within treasury technology systems that enables evidence-based decision-making through the systematic measurement, modeling, and interpretation of financial data specific to corporate liquidity, risk, and performance.

4

Publications

198

Citations

18

Authors

11

Institutions

Publications per year

2017–2026

3

Authors

18

  1. HG
    Haochen Guo

    Mendel University in Brno, Czechia

    1 publications · 84 citations

    1

    h-index

  2. FN
    Francesco Nucci

    Sapienza University of Rome, Italy

    1 publications · 12 citations

    1

    h-index

  3. CV
    Clara Vega

    Federal Reserve Board of Governors, United States

    1 publications · 82 citations

    1

    h-index

  4. DC
    David C. Robertson

    Universiti Brunei Darussalam, Brunei

    1 publications · 84 citations

    1

    h-index

  5. WK
    Wahiduzzaman Khan

    Ahsanullah University of Science and Technology, Bangladesh

    1 publications · 20 citations

    1

    h-index

1–5 of 18

Venues

  1. Review of Financial Studies

    1 publications · 82 citations

    1

    h-index

  2. Economic Modelling

    1 publications · 12 citations

    1

    h-index

  3. AI & Society

    1 publications · 84 citations

    1

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 20 citations

    1

    h-index

1–4