2018
DOI: 10.2139/ssrn.3285985
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Use of Regtech by Central Banks and Its Impact on Financial Inclusion

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Cited by 6 publications
(8 citation statements)
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“…In the latter case, staff would still be needed to monitor the decisions taken. In either case, appropriately qualified personnel are rarely found in developing countries (Gurung and Perlman, 2018). Moreover, some studies suggest that humans and AI technologies, notably machine learning, contribute to different aspects of decision-making.…”
Section: Litterature Backgroundmentioning
confidence: 99%
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“…In the latter case, staff would still be needed to monitor the decisions taken. In either case, appropriately qualified personnel are rarely found in developing countries (Gurung and Perlman, 2018). Moreover, some studies suggest that humans and AI technologies, notably machine learning, contribute to different aspects of decision-making.…”
Section: Litterature Backgroundmentioning
confidence: 99%
“…In developing countries, the rapid development of technology and new entrants such as Fintech, introduce new risks that regulators have to consider to maintain financial stability. Examples of these new risks might be related to the lack of appropriate regulations (Gurung and Perlman, 2018). In these countries, regulators must develop new approaches to avoid banks being excluded from the global financial system.…”
Section: Litterature Backgroundmentioning
confidence: 99%
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“…RegTech can monitor data files, emails and voice communications produced by their employees (Micheler & Whaley, 2020) and take care that information sent out into the wider world is complete and accurate, clamping down on it being otherwise used by senior managers to "obfuscate, mislead, distort, or confuse regulators and investors" (Currie et al, 2018, p. 306). Industry associations and investors can share data with regulators to create the basis for integrated technology-driven regulation (Yang & Li, 2018), while non-profit organisations and donors have lent a hand in developing tools and techniques to improve market supervision and policy analysis (Gurung & Perlman, 2018).…”
Section: Dimension #3: Grounding Regtech: Stakeholders and Applicationsmentioning
confidence: 99%
“…Risks of RegTech: Technology, innovation, data and modelling bring undeniable risks onto the agenda. Operational risk, cyber risk, privacy of data "particularly where customer data is shared with a third-party vendor", algorithmic biases, the risk of relying on low quality data and on models being transparent (Deshpande, 2020;Buckley et al, 2020;FINRA, 2018, p. 9;Gurung & Perlman, 2018;Currie et al, 2018), as they may turn into black boxes, are all a challenge to anyone's spirit of innovation.…”
Section: Dimension #4: Benefits and Risksmentioning
confidence: 99%