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    BCBS Report Studies Implications of Digitalization of Finance

    May 21, 2024

    The Basel Committee on Banking Supervision (BCBS) published a report that examines the implications of the digitalization of finance for banks and supervisors. In addition to examining the regulatory and supervisory approaches and implications of digitalization, the report notes that banks must adapt strategies and operations to remain competitive and compliant as new competitors and business models emerge. To this end, effective data quality, privacy, and security measures are crucial.

    The report builds on the 2018 BCBS paper titled, “Sound practices: implications of fintech developments for banks and bank supervisors” and takes stock of recent developments in the digitalization of finance. The report

    • reviews some of the key technologies across various aspects of the banking value chain, including banks' use of application programming interfaces (APIs), artificial intelligence (AI) and machine learning (ML), distributed ledger technology (DLT), and cloud computing
    • considers the role of new banking competitors and business models, before outlining the potential risks for banks and financial stability arising from the digitalization of finance
    • considers various strategies and practices that are, in principle, available for banks to mitigate risks
    • examines the evolution of regulatory and supervisory frameworks in response to the digitalization of finance
    • outlines eight implications of digitalization of finance, including the regulatory and supervisory implications for both banks and banking supervisors, the implications of specific digitalization themes, and the implications for capacity building and coordination across authorities and jurisdictions

    In some jurisdictions, legislative frameworks have expanded the scope of the regulatory perimeter. Some of the common challenges identified by supervisors include the technical complexity of many new technologies and a lack of specialist knowledge by supervisors, gaps in existing regulatory frameworks for addressing the full spectrum of risks, the complexities associated with cross-border nature of many activities and entities, and lack of standardization and interoperability of certain technologies and networks, like APIs and DLT. Meanwhile, many supervisors are making greater use of suptech tools, with some common use cases including text analysis and summarization, entity sentiment analysis, market surveillance and risk identification, credit risk challenger tools, outlier detection in AML inspections, and the automation of certain supervisory processes. Suptech is also being used to monitor trends and risks across the fintech sector, including monitoring crypto and DeFi projects. Some authorities are using suptech solutions to improve communication and clarity on regulatory requirements and expectations. Relevant examples include interactive chat-style “regulation as a service” interactions using AI to respond to queries from regulated entities.

     

    Visit Moody’s website to find out how Moody’s is incorporating cutting-edge technologies, such as artificial intelligence, to help banks meet their existing challenges more effectively.

     

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    Keywords: International, Banking, Lending, Basel, Regtech, Suptech, GenAI, BCBS

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