Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3. Issue 1 (5th March 2019)

• Record Type: Journal Article
• Authors: Yang, Wenmei; Koshiyama, Adriano S.
• Is Part Of: Intelligent systems in accounting, finance and management. Volume 26:Issue 1(2019)
• Page Start: 16
• Page End: 31
• Publication Date: 2019-03-05
• Subjects: association rules mining -- correspondence analysis -- regulatory reporting framework -- reporting architecture; Accounting -- Data processing -- Periodicals; Business -- Data processing -- Periodicals; Expert systems (Computer science) -- Periodicals; Artificial intelligence -- Periodicals; 657.028563
• DOI: 10.1002/isaf.1441
• Languages: English
• ISSNs: 1055-615X

Abstract

Summary: Financial institutions are struggling with larger volume, more specific and greater frequency of regulatory reporting after the global financial crisis in 2008, especially those that need to report to multiple jurisdictions. To help to improve reporting efficiency, this paper aims to assess the existence of similarities between templates related to credit and counter party credit risk of COREP and Pillar 3 regulatory reporting frameworks by applying Correspondence Analysis and Association Rules Mining. Our results suggest a high degree of overlap between these reporting frameworks, more prominently the three business functions as Front office, Finance and Risk. These patterns can be used as guidance for financial institutions to reshape their reporting architecture.