2026-05-31T02:46:43Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/292662026-02-03T10:54:38Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Salas-Compás, María Belén author Lamothe Fernández, Prosper author Delgado, Enrique author Fernández-Miguélez, Ángel-Luis author Valcarce-Ruiz, Lucía author 2024-01-18 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. 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 https://hdl.handle.net/10630/29266 10.1007/s10614-023-10543-8 Préstamos Crédito Bancos Determinants of nonperforming loans: a global data analysis