Review of the list of global systemically important insurers (G-SIIs)

FSB statement on global systemically important insurers.

FSB RCG for Middle East and North Africa discusses FSB work, financial stability in the region, FinTech and misconduct risks

FSB holds meeting of RCG for the Middle East and North Africa in Antalya.

FSB RCG for Sub-Saharan Africa discusses G20 Compact with Africa, FSB agenda, correspondent banking, cybersecurity and cross-border crisis management

FSB holds meeting of RCG for Sub-Saharan Africa in Pretoria.

FSB RCG for Europe discusses regional financial developments, experiences with banking supervision and macroprudential practices

FSB holds meeting of RCG for Europe in Basel.

Monetary and Financial Statistics Manual and Compilation Guide (MFSMCG)

The MFSMCG, aimed at compilers and users of MFS, offers a conceptual framework for the collection, compilation, and analytical presentation of monetary data, which provide a critical input for monetary policy formulation and monitoring.

Application paper on group corporate governance

This IAIS Application Paper identifies good supervisory practices and examples to address challenges specific to the governance of insurance groups.

Guidance on AML/CFT measures and financial inclusion, with a supplement on customer due diligence

The objective of this updated FATF report is to encourage countries to make use of the FATF Recommendations’ flexibility to provide sound financial services to the financially excluded.

Guidance on private sector information sharing

This FATF guidance sets out the obstacles related to effective exchange of information between financial institutions, articulates the requirements of the FATF Recommendations in this context and aims to improve effective information sharing.

FSB considers financial stability implications of artificial intelligence and machine learning

Report considers the risks and benefits that could emerge as activities continue to grow across the financial industry.

Artificial intelligence and machine learning in financial services

A report on the financial stability implications of artificial intelligence and machine learning in finance.

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