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DLT Compliance Reporting

Authors :
Johannes Rude Jensen
Henrik Axelsen
Omri Ross
Source :
Complex Systems Informatics and Modeling Quarterly, Vol 0, Iss 35, Pp 92-103 (2023)
Publication Year :
2023
Publisher :
Riga Technical University, 2023.

Abstract

Today, local financial institutions are responsible for submitting compliance reporting data to the supervisory authorities. This is commonly referred to as the ‘push model’. The increasing complexity of reporting obligations often results in delayed reporting which delivers a fragmented and incomplete macroeconomic overview of the financial sector. Working with a group of nine representatives from industry and regulatory authorities, we employ the design science research methodology (DSR) in the design of an artefact, enabling the automated collection and enrichment of transactional data from DLT ledgers. Our findings demonstrate how the adoption of DLT in the financial sector will facilitate the automation of compliance reporting through a ‘pull-model’, in which regulators can access compliance data in near real-time and stage aggregate macroeconomic risk exposures for the eurozone. The findings contribute practical insights to the discourse on design-driven research on DLT and blockchain technology.

Details

Language :
English
ISSN :
22559922
Issue :
35
Database :
Directory of Open Access Journals
Journal :
Complex Systems Informatics and Modeling Quarterly
Publication Type :
Academic Journal
Accession number :
edsdoj.215efc6cc19040b390b7723ebb3d8f80
Document Type :
article
Full Text :
https://doi.org/10.7250/csimq.2023-35.04