Big Picture

ESG / Sustainability

Rating Stability at Risk from Looming Climate Downgrades

By Hazel Ilango | 21/08/2023

Hazel Ilango discusses the need for a more sustainable, relevant and effective credit rating system that better accounts for climate-related risks.

Big Picture

ECB Calls on Banks to Simplify and Streamline Internal Models

By Manesh Samtani | 20/08/2023

Banks should consider using less sophisticated approaches for exposure classes that involve small portfolios or portfolios with limited representative data.

Crypto / Digital Assets

FDIC Adds Crypto as Key Risk in Annual Review Report

By Editors | 17/08/2023

The FDIC says it has developed processes to engage in “robust supervisory discussions” with banks on crypto-asset risks.

Big Picture

Inside ASIC’s Derivatives Reporting Rule Rewrite

By Manesh Samtani | 14/08/2023

ASIC’s Alex Orgaz-Barnier and DTCC’s Priya Kundamal spoke to Regulation Asia about the changes to the derivative transaction reporting regime in Australia.

Crypto / Digital Assets

Bank of Canada Discusses Potential Challenges of CBDC Adoption

By Editors | 14/08/2023

Consumers with unmet payment needs could only benefit from a CBDC if it is adopted widely by other consumers and merchants.

AML / KYC

RUSI Publishes Virtual Assets Risk Assessment Guide

By Editors | 12/08/2023

The guide offers a ‘virtual assets risk assessment framework’, as well as risk mitigation strategies and best practices.

Big Picture

UN Chief Calls for Global Tax Reform, Criticises OECD

By Mark Johnston | 09/08/2023

The UN Secretary-General calls for more UN involvement in setting and enforcing global tax standards.

Big Picture

Banks Showing Lowest Operational Risk Losses in Years: ORX

By Editors | 08/08/2023

While 2022 gross operational risk losses were the lowest since 2017, an increase in fraud is driving up annual loss frequency, ORX says.

Fintech / Regtech

EBA Issues Report on the Use of Machine Learning for IRB Models

By Manesh Samtani | 07/08/2023

The report proposes a set of principle-based recommendations to ensure the appropriate use of ML techniques by institutions in the context of IRB models.