DLT Compliance Reporting
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DLT Compliance Reporting. / Jensen, Johannes Rude; Axelsen, Henrik; Ross, Omri.
In: Complex Systems Informatics and Modeling Quarterly, Vol. 2023, No. 35, 195, 2023, p. 92-103.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - DLT Compliance Reporting
AU - Jensen, Johannes Rude
AU - Axelsen, Henrik
AU - Ross, Omri
N1 - Publisher Copyright: © 2023 Johannes Rude Jensen, Henrik Axelsen, and Omri Ross.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Automation
KW - Blockchain
KW - Compliance
KW - DLT
KW - Reporting
UR - http://www.scopus.com/inward/record.url?scp=85168015562&partnerID=8YFLogxK
U2 - 10.7250/csimq.2023-35.04
DO - 10.7250/csimq.2023-35.04
M3 - Journal article
AN - SCOPUS:85168015562
VL - 2023
SP - 92
EP - 103
JO - Complex Systems Informatics and Modeling Quarterly
JF - Complex Systems Informatics and Modeling Quarterly
SN - 2255-9922
IS - 35
M1 - 195
ER -
ID: 364500526