Risk disclosure is a crucial factor in enhancing the efficiency of financial markets and promoting financial stability. This paper proposes a methodological tool to analyze credit risk disclosure in bank financial reports, based on the content analysis framework. The authors also use this methodology to carry out an empirical study on a small sample of large Italian banks. The paper provides preliminary empirical evidence that banks differ in their credit risk disclosure, even though they are subject to homogeneous regulatory and accounting requirements. Furthermore, by carrying-out a correlation-based network analysis, the paper provides preliminary evidence on the existence of a relationship between credit risk disclosure, bank size, and business model. The existing literature has not provided any methodological tool to analyze qualitative and quantitative profiles of bank credit risk disclosure. In order to fill this gap, we propose an original research methodology to investigate bank credit risk reporting. While previous contributions have examined related aspects adopting automated content analysis techniques, this paper proposes an original and non-automated content analysis approach. Our research has several regulatory and strategic implications and lays the foundation for further research in banking, finance, and accounting.

Scannella, E., & Polizzi, S. (2021). How to measure bank credit risk disclosure? Testing a new methodological approach based on the content analysis framework. JOURNAL OF BANKING REGULATION, 22(1), 73-95 [10.1057/s41261-020-00129-x].

How to measure bank credit risk disclosure? Testing a new methodological approach based on the content analysis framework

Scannella, E
;
Polizzi, S
2021

Abstract

Risk disclosure is a crucial factor in enhancing the efficiency of financial markets and promoting financial stability. This paper proposes a methodological tool to analyze credit risk disclosure in bank financial reports, based on the content analysis framework. The authors also use this methodology to carry out an empirical study on a small sample of large Italian banks. The paper provides preliminary empirical evidence that banks differ in their credit risk disclosure, even though they are subject to homogeneous regulatory and accounting requirements. Furthermore, by carrying-out a correlation-based network analysis, the paper provides preliminary evidence on the existence of a relationship between credit risk disclosure, bank size, and business model. The existing literature has not provided any methodological tool to analyze qualitative and quantitative profiles of bank credit risk disclosure. In order to fill this gap, we propose an original research methodology to investigate bank credit risk reporting. While previous contributions have examined related aspects adopting automated content analysis techniques, this paper proposes an original and non-automated content analysis approach. Our research has several regulatory and strategic implications and lays the foundation for further research in banking, finance, and accounting.
Settore SECS-P/11 - Economia Degli Intermediari Finanziari
https://link.springer.com/article/10.1057/s41261-020-00129-x
Scannella, E., & Polizzi, S. (2021). How to measure bank credit risk disclosure? Testing a new methodological approach based on the content analysis framework. JOURNAL OF BANKING REGULATION, 22(1), 73-95 [10.1057/s41261-020-00129-x].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/481207
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