The U.S., the U.K., and more recently, the E.U., have proposed policy measures directly targeting complexity and business structures of banks. Unlike other, price-based reforms (e.g., Basel 3 and G-SIFI surcharges), these proposals have been developed unilaterally with material differences in scope, design and implementation schedules. This may exacerbate cross-border regulatory arbitrage and put a further burden on consolidated supervision and cross-border resolution. This paper provides an analysis of the potential implications of implementing different structural policy measures. It proposes a pragmatic and coordinated approach to development of these policies to reduce risk of regulatory arbitrage and minimize unintended consequences. In doing so, it also aims to identify a set of common policy measures that countries could adopt to re-scope bank business models and corporate structures.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Each year we pay billions in fees to those who run our financial system. The money comes from our bank accounts, our pensions, our borrowing, and often we aren’t told that the money has been taken. These billions may be justified if the finance industry does a good job, but as this book shows, it too often fails us. Financial institutions regularly place their business interests first, charging for advice that does nothing to improve performance, employing short-term buying strategies that are corrosive to building long-term value, and sometimes even concealing both their practices and their investment strategies from investors. In their previous prizewinning book, The New Capitalists, the authors demonstrated how ordinary people are working together to demand accountability from even the most powerful corporations. Here they explain how a tyranny of errant expertise, naive regulation, and a misreading of economics combine to impose a huge stealth tax on our savings and our economies. More important, the trio lay out an agenda for curtailing the misalignments that allow the financial industry to profit at our expense. With our financial future at stake, this is a book that analysts, economists, policy makers, and anyone with a retirement nest egg can’t afford to ignore.

We identify current challenges for creating stable, yet efficient financial systems using lessons from recent and past crises. Reforms need to start from three tenets: adopting a system-wide perspective explicitly aimed at addressing market failures; understanding and incorporating into regulations agents’ incentives so as to align them better with societies’ goals; and acknowledging that risks of crises will always remain, in part due to (unknown) unknowns – be they tipping points, fault lines, or spillovers. Corresponding to these three tenets, specific areas for further reforms are identified. Policy makers need to resist, however, fine-tuning regulations: a “do not harm” approach is often preferable. And as risks will remain, crisis management needs to be made an integral part of system design, not relegated to improvisation after the fact.

The era of quantum computing is about to begin, with profound implications for the global economy and the financial system. Rapid development of quantum computing brings both benefits and risks. Quantum computers can revolutionize industries and fields that require significant computing power, including modeling financial markets, designing new effective medicines and vaccines, and empowering artificial intelligence, as well as creating a new and secure way of communication (quantum Internet). But they would also crack many of the current encryption algorithms and threaten financial stability by compromising the security of mobile banking, e-commerce, fintech, digital currencies, and Internet information exchange. While the work on quantum-safe encryption is still in progress, financial institutions should take steps now to prepare for the cryptographic transition, by assessing future and retroactive risks from quantum computers, taking an inventory of their cryptographic algorithms (especially public keys), and building cryptographic agility to improve the overall cybersecurity resilience.

Provides an in-depth overview of the Federal Reserve System, including information about monetary policy and the economy, the Federal Reserve in the international sphere, supervision and regulation, consumer and community affairs and services offered by Reserve Banks. Contains several appendixes, including a brief explanation of Federal Reserve regulations, a glossary of terms, and a list of additional publications.