FSB – FinTech and Blockchain Law Watch

Financial Stability Board’s View on Crypto-Assets

Oct 17 2018

On 10 October 2018, the Financial Stability Board (FSB) released a report assessing the risks and implications of crypto-assets on financial stability. The FSB considered that the growth of crypto-asset trading platforms, the introduction of new financial products (crypto-asset funds and exchange-traded products) and growing interest by retail investors together could lead to implications on global financial stability.

In its report, the FSB assessed the primary risks in crypto-asset markets which could expose and undermine confidence in the financial system and in financial regulators.

Crypto-Assets: FSB Report To The G20

Jul 30 2018

By Jonathan Lawrence

The Financial Stability Board (FSB) has published a report to the G20 on the crypto-assets work of the FSB, Committee on Payments and Market Infrastructures (CPMI), International Organisation of Securities Commissions (IOSCO) and the Basel Committee on Banking Supervision (BCBS).

IOSCO confirms its belief that crypto-assets and platforms do not a pose global financial stability risk, nonetheless they raise other significant concerns (potentially needing further regulation) regarding investor protection, market integrity and money laundering. IOSCO suggests that it could work more closely with BCBS and CPMI for payment coin exchanges, which could be viewed more as spot market exchanges/payment infrastructures.

FinTech in the Fight Against Money Laundering

Dec 22 2017

By Jonathan Lawrence

Rob Gruppetta, Head of the Financial Crime Department at the UK Financial Conduct Authority (FCA), recently gave a speech at the FinTech Innovation in Anti-Money Laundering (AML) and Digital ID regional event, London about “Using artificial intelligence to keep criminal funds out of the financial system”. He considered whether machine learning and artificial intelligence (AI) techniques could help. Better transaction monitoring is not the only way AI can aid the fight against money laundering. The Financial Stability Board (FSB) published a report on 1 November about the impact of AI that identified other ways it can help. Examples include AI-driven anti-impersonation checks that evaluate whether photos in different identity documents match, and using machine learning to identify customers that may pose a higher risk and so warrant, say, a deeper probe into the sources of their wealth.

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