Prediction of SMEs Bankruptcy at the Industry Level with Balance Sheets and Website Indicators

Handle

https://riunet.upv.es/handle/10251/208407

Cita bibliográfica

Bottai, C.; Crosato, L.; Liberati, C. (2024). Prediction of SMEs Bankruptcy at the Industry Level with Balance Sheets and Website Indicators. Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2024.2024.17761

Titulación

Resumen

[EN] This paper addresses the importance of industry-specific models for SMEs bankruptcy prediction, building on earlier research finding larger predictive accuracy and enhanced temporal stability. Using Italian data, we propose separate bankruptcy prediction models for a few industries based on balance sheet data and explore the predictive power of SMEs' website html code structure. Our findings suggest that website data can serve as a valid complementary source for bankruptcy prediction, with different performances across sectors. We observe a certain degree of sectoral heterogeneity in the importance of financial ratios, firm-specific characteristics, and website structure, calling for an industry-tailored approach in bankruptcy prediction models.

Fuente

6th International Conference on Advanced Research Methods and Analytics (CARMA 2024) isbn: 9788413962016

Editorial

Editorial Universitat Politècnica de València

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