2021
To supervise or to self-supervise: A machine-learning based comparison on credit supervision
Antunes, J. A. P.
Financial Innovation, 7, 26
Finance Researcher & Central Bank Analyst
Specializing in financial intermediation, credit markets, and financial stability. Analyst at the Central Bank of Brazil and professor at leading Brazilian institutions.
About
José Américo Pereira Antunes is an analyst at Banco Central do Brasil, where he leads a banking supervision team focused on credit and financial intermediation. With over two decades of experience bridging academic research and regulatory practice, his work has shaped how Brazil monitors systemic risk.
As a professor, he teaches Financial Institution Management and Financial Derivatives Management at Coppead/UFRJ, FGV, and Universidade Cândido Mendes, where he also supervises master's dissertations in Economics and Business Management.
His research — published in journals such as Financial Innovation, Economic Modelling, and Empirical Economics — explores the intersections of financial intermediation, monetary policy, and credit market stability. He is also a reviewer for international academic journals and has received awards from CFA Society and Febraban.
Beyond finance, José holds a specialized credential in sports analytics and has built data-driven applications for football scouting and club financial analysis.
Research
Antunes, J. A. P.
Financial Innovation, 7, 26
Antunes, J. A. P.; De Moraes, C. O.; Grapiúna, L. S.
Borsa Istanbul Review, 24, 1
Antunes, J. A. P.; De Moraes, C. O.; Montes, G. C.
Economic Modelling, 56, 177–186
Antunes, J. A. P.; De Moraes, C. O.; Rodrigues, A.
Journal of Economic Studies, 46, 727–747
Antunes, J. A. P.; De Moraes, C. O.; Rodrigues
Applied Economic Letters, 25, 1135–1139
Antunes, J. A. P.; Moraes, C. O.; Coutinho, M. S.
Journal of Economic Studies, 48(6), 1162–1176
Antunes, J. A. P.; Montes, G. C.; Araújo, A. F.
Empirical Economics, 1, 1
Recognition
3rd place
3rd place
2nd place
Applications
A data-driven scouting tool for football talent analysis using public data and advanced metrics.
Streamlit · Python · Data Science
Comprehensive financial analysis of Brazilian Serie A football clubs, including revenue, debt, and performance metrics.
Streamlit · Python · Finance
An open platform for exploring and analyzing public datasets with interactive visualizations.
Streamlit · Python · Open Data
FGV
UFRJ
UERJ
USP / FIPECAFI
UFF
FGV
UFRJ
UFRJ
Contact
Interested in collaboration, research opportunities, or academic inquiries? Feel free to reach out.
tesouraria.rj@gmail.com