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 regulatoryand strategic implications and lays the foundation for further research in banking, finance, and accounting.
|Number of pages||23|
|Journal||Journal of Banking Regulation|
|Publication status||Published - 2021|
All Science Journal Classification (ASJC) codes
- Economics and Econometrics