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
Parents
4
“Intelligent” finance and treasury management: what we can expect
Petr Polák, Christof Nelischer, Haochen Guo et al. · AI & Society · 2019 · 84 citations
The Italian Treasury Econometric Model (ITEM)
Claudio Cicinelli, Andrea Cossio, Francesco Nucci et al. · Economic Modelling · 2009 · 12 citations
Social Sciences, Economics, Finance +11
1–4 of 4
18
1
h-index
1
h-index
1
h-index
1
h-index
Ahsanullah University of Science and Technology, Bangladesh
1 publications · 20 citations
1
h-index
1–5 of 18
11

Mendel University in Brno
Brno, Czechia
1 h-index
1 publications
84 citations
VSB - Technical University of Ostrava
Ostrava, Czechia
1 h-index
1 publications
84 citations

Sapienza University of Rome
Rome, Italy
1 h-index
1 publications
12 citations
Universiti Brunei Darussalam
Bandar Seri Begawan, Brunei
1 h-index
1 publications
84 citations
Willis Towers Watson (United Kingdom)
London, United Kingdom
1 h-index
1 publications
84 citations
Ministero dell'Economia e delle Finanze
Rome, Italy
1 h-index
1 publications
12 citations
Jiujiang University
Jiujiang, China
1 h-index
1 publications
20 citations
Global Science & Technology (United States)
Greenbelt, United States
1 h-index
1 publications
20 citations
1–8 of 11
1 publications · 82 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 84 citations
1
h-index
Repository · 1 publications · 20 citations
1
h-index
1–4