Year: 2024
Type: article
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.
Source: Computational Economics
Institutions: Universidad de Málaga, Universidad Autónoma de Madrid
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,190
Funder: Universidad de Málaga
OpenAlex ID: W4390975180