Financial Authorities in the Era of Data Abundance: Regtech for Regulators and Suptech Solutions

44 Pages Posted: 7 Oct 2018 Last revised: 20 Oct 2018

See all articles by Simone di Castri

Simone di Castri

Cambridge SupTech Lab - University of Cambridge; University of Cambridge - Cambridge Centre for Alternative Finance

Matt Grasser

Cambridge SupTech Lab - University of Cambridge; BFA; University of Cambridge - Cambridge Centre for Alternative Finance

Arend Kulenkampff

Independent

Date Written: 2018

Abstract

Technology solutions for regulators (RegTech for Regulators or “RegTech2”) and supervisors (“SupTech”) enhance the capabilities of financial authorities to meet the challenges posed by digitization and globalization of the marketplace as well as the expansion of their mandates. They lend themselves especially well to the implementation of data-intensive, risk-based supervision. They do so by furnishing authorities with tools that can capture larger and richer datasets from more varied sources, automate and accelerate administrative procedures, and extract deeper meaning from their data than was hitherto possible. The first section of this paper lays out the challenges that financial authorities face in safeguarding the soundness of their financial systems given the growing demands on their mandates, the evolving nature of financial services, and the pressures of digital financial globalization. The second section highlights some of the benefits that such an approach can deliver. The third section looks at use-cases of RegTech2/SupTech, both real and possible. The fourth section examines potential risks surrounding these technologies together with the challenges authorities might face in implementation. Finally, the fifth section offers some examples of current efforts to deploy RegTech2/SupTech applications in Mexico, Nigeria, and the Philippines.

Keywords: regtech, suptech, regulatory technology, supervisory technology, innovation, fintech, central bank, supervision, sandboxes, big data, artificial intelligence, machine learning, natural language processing

JEL Classification: c80, c81, c82, d78, e42, e50, e58, g18, g10, g28, g18, o38

Suggested Citation

di Castri, Simone and Grasser, Matt and Kulenkampff, Arend, Financial Authorities in the Era of Data Abundance: Regtech for Regulators and Suptech Solutions (2018). Available at SSRN: https://ssrn.com/abstract=3249283 or http://dx.doi.org/10.2139/ssrn.3249283

Simone Di Castri (Contact Author)

Cambridge SupTech Lab - University of Cambridge ( email )

NY
United Kingdom

University of Cambridge - Cambridge Centre for Alternative Finance ( email )

Matt Grasser

Cambridge SupTech Lab - University of Cambridge ( email )

NYC
United Kingdom

HOME PAGE: http://cambridgesuptechlab.org

BFA ( email )

259 Elm Street, Suite 200
Somerville, MA 02144
United States

University of Cambridge - Cambridge Centre for Alternative Finance ( email )

Arend Kulenkampff

Independent ( email )

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