Data-Intensive Regulation of Financial Services: The Path to More Resilient Regulatory Analytics

Quarterly Journal of Central Banking, 2011

10 Pages Posted: 8 Oct 2011

See all articles by Constantin Gurdgiev

Constantin Gurdgiev

Trinity College, Dublin; Middlebury Institute of International Studies at Monterey (MIIS)

Keith Saxton

affiliation not provided to SSRN

Date Written: October 7, 2011

Abstract

As we pass the three-year anniversary of the failure of Lehman Brothers and the subsequent banking and sovereign debt crises in the advanced economies, it is useful to reflect on progress made. Despite some significant progress made on the front of reinforcing regulatory and supervisory frameworks, much remains to be done to enhance practical application and deployment of the new stabilization regimes. This is because both regulators and banks continue to lack the tools and data to understand the system in its entirety, to price complex and mutually reinforcing risks, predict pathways for contagion and amplification of overall uncertainty within the financial system. We discuss some of the issues relating to future direction for enhancing data-intensive regulatory and supervisory analytics in financial services.

Keywords: data-intesity, dimensionality, systemic risk, financial services regulation, financial services supervision, predictive analytics

JEL Classification: E61, F33, G15, G18, G20, G28

Suggested Citation

Gurdgiev, Constantin and Saxton, Keith, Data-Intensive Regulation of Financial Services: The Path to More Resilient Regulatory Analytics (October 7, 2011). Quarterly Journal of Central Banking, 2011. Available at SSRN: https://ssrn.com/abstract=1940481

Constantin Gurdgiev (Contact Author)

Trinity College, Dublin ( email )

Trinity College
Dublin 2

Middlebury Institute of International Studies at Monterey (MIIS) ( email )

460 Pierce St
Monterey, CA 93940
United States

Keith Saxton

affiliation not provided to SSRN ( email )

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