Determinants of nonperforming loans: A global data analysis
This study analyzes the factors that explain the evolution of banks´ nonperforming ioan 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...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/719455 |
| Acceso en línea: | http://hdl.handle.net/10486/719455 https://dx.doi.org/10.1007/s10614-023-10543-8 |
| Access Level: | acceso abierto |
| Palabra clave: | Bank Industry Credit risk Dynamic Panel data Global Economy Nonperforming loan Economía |
| Sumario: | This study analyzes the factors that explain the evolution of banks´ nonperforming ioan 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 ioan ratio is etermined 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 ioan analysis in the world´s most critical regions |
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