Determinants of nonperforming loans: a global data analysis

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Springer Nature

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Abstract

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.

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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

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Except where otherwised noted, this item's license is described as Atribución 4.0 Internacional