Uncovering Patterns of Fintech Behavior in Italian Banks: A Multidimensional Statistical Analysis

Exploiting a sample of Italian listed banks, this study investigates their adoption of Fintech. Multiple correspondence analysis and hierarchical clustering classification is used to study factors of Fintech in Italian banks in 2021. According to the literature, the significant factors are disclosure, financial investments, and collaborations in Sandbox. Results show that different bank subgroups have specific Fintech characteristics based on various corporate governance and structural characteristics. The consequent implications are both academic and practical. On the one hand, we highlight how these measures make it possible to have homogeneous clusters. On the other hand, we have indications of policies and best practices.

Keywords: fintech, banks, financial system, multiple correspondence analysis, cluster analysis, tanglegrams

JEL Classification: G21, G23, C38, C39

Suggested Citation: Suggested Citation

Drago, Carlo and Minnetti, Francesco and Di Nallo, Loris and Manzari, Alberto, Uncovering Patterns of Fintech Behavior in Italian Banks: A Multidimensional Statistical Analysis (April 7, 2023). Available at SSRN: https://ssrn.com/abstract=4419616 or http://dx.doi.org/10.2139/ssrn.4419616