Risk-based supervision focus report 2018
This first Central Banking journal focus report on risk-based supervision analyses how central banks, financial regulators and financial institutions can streamline efforts to meet onerous new regulatory and supervisory data requirements.
The report includes a feature examining whether artificial intelligence can be unleashed to perform machine-executable regulation in addition to machine-readable regulation; an interview with Kenneth Lamar, former senior vice-president of the Federal Reserve Bank of New York; and an expert discussion on how to tackle some of the biggest challenges presented by risk-based assessment frameworks.
The Risk-based supervision focus report aims to offer assistance to financial regulators and supervisors in understanding the challenges that come hand in hand with evolution in the regulatory and supervisory environment. It explores how technology can…
The raft of new rules imposed on regulated financial institutions in the aftermath of the global financial crisis has a huge compliance cost. Could artificial intelligence offer efficiency gains?
Former Federal Reserve Bank of New York senior vice-president Kenneth Lamar discusses risk‑based reporting, its challenges and whether fintech will help reduce the regulatory burden
Rapid regulatory change has led to a steep increase in data volumes and policies, and a new environment has opened up for discussions on effective regulatory supervision and a transition to risk-based supervision
Central Banking convened a panel of experts to discuss how central banks and other authorities are making use of new risk-based assessment techniques to remain ahead of the fintech curve.
Panellists discuss how risk-based supervision can create better outcomes for central banks and firms