RT Journal Article
T1 Determinants of nonperforming loans: a global data analysis
A1 Salas-Compás, María Belén
A1 Lamothe Fernández, Prosper
A1 Delgado, Enrique
A1 Fernández-Miguélez, Ángel-Luis
A1 Valcarce-Ruiz, Lucía
K1 Préstamos
K1 Crédito
K1 Bancos
AB This Study Analyzes the Factors that Explain the Evolution of banks´ Nonperforming loan Ratios Worldwide. We use a Sample of 1,631 Entities from 111 Countries Grouped into the Eight Central Regions in the World, with Information Corresponding to the Period 2007–2021. Applying Panel data Methods and an Extensive set of both Specific and Macroeconomic Variables, the Results show that Nonperforming loan Ratio is Determined by a Series of Specific Factors, Regardless of where or when they Operate. These Results may be Helpful to Minimize the cost of Building Models for the Nonperforming loan Analysis in the world´s most Critical Regions.
PB Springer Nature
YR 2024
FD 2024-01-18
LK https://hdl.handle.net/10630/29266
UL https://hdl.handle.net/10630/29266
LA eng
NO Salas, M., Lamothe, P., Delgado, E. et al. Determinants of Nonperforming Loans: A Global Data Analysis. Comput Econ (2024). https://doi.org/10.1007/s10614-023-10543-8
NO Funding for open access charge: Universidad Málaga/CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026