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Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
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.
Generative Artificial Intelligence in Finance
In recent years, technological advances and competitive pressures have fueled rapid adoption of artificial intelligence (AI) in the financial sector, and this adoption is set to accelerate with the recent emergence of generative AI (GenAI). GenAI is a significant leap forward in AI technology that enhances its utility for financial institutions that have been quick at adapting it to a broad range of applications. However, there are risks inherent in the AI technology and its application in the financial sector, including embedded bias, privacy concerns, outcome opaqueness, performance robustness, unique cyberthreats, and the potential for creating new sources and transmission channels of systemic risks. GenAI could aggravate some of these risks and bring about new types or risks as well, including for financial sector stability. This paper provides early insights into GenAI’s inherent risks and their potential impact on the financial sector.
Sudan
This paper examines Sudan’s Final Review Under the Medium-Term Staff-Monitored Program (SMP) and the 2002 Program. Sudan has made substantial progress over the past five years of SMPs in achieving macroeconomic stability and advancing structural reforms. The program for 2002 represents a strong and credible effort to bring economic policies back on track, reinforce macroeconomic stability, and meet the challenges of weak external environment. The introduction of mechanisms for greater exchange rate flexibility and for saving oil revenues is particularly welcome.
Sudan: Final Review Under the 2002 Staff-Monitored Program and the 2003 Program
Executive Directors commended Sudan's efforts to bring economic policies back on track and welcomed the establishment of a mechanism to save oil export receipts arising from higher-than-programmed oil prices, but underscored the need to strengthen budget control and monitoring systems. The audit of the Sudan Petroleum Company (SPC) was completed, and netting operations by public enterprises and the private sector were abolished. The authorities' medium-term strategy aims at consolidating macroeconomic stability, sustaining economic growth, and reducing poverty.
The Underground Economy
This paper estimates the size of the underground economy in Pakistan and analyzes its impact on Government fiscal position and the allocation of economic resources in the national economy. The results suggest that there is a mutual dependency between the size of the underground economy and fiscal deficits, and show a leakage from the national income-expenditure cycle in the formal economy to the underground economy via private investments. Finally, the paper proposes long- and short-run policies to reduce the size of the underground economy.
Real Exchange Rate Behavior and Economic Growth
This paper examines the effect of the real exchange rate misalignment (RERMIS) on the collective economic growth of Egypt, Jordan, Morocco, and Tunisia. The paper constructs three measures of exchange rate misalignment based on purchasing power parity; a black market exchange rate; and a structured model. The empirical investigation confirmed the adverse effect of RERMIS on growth, using all measures of RERMIS, as predicted by endogenous growth models. The results also highlighted the role of other factors; specifically, capital growth and population have the theoretical signs predicted by the Solow growth model and are statistically significant.
THE EVOLUTION OF ARTIFICIAL INTELLIGENCE
In "The Evolution of Artificial Intelligence," the fascinating story of the development of one of the most revolutionary technologies of our time is told. From the earliest rudimentary algorithms to today's complex neural networks, this book offers a detailed view of how artificial intelligence has evolved and transformed our lives. Through historical anecdotes, interviews with field pioneers, and in-depth analysis, the reader will discover the challenges and triumphs that have marked the path of AI. More than just a technological chronicle, this book explores the ethical, social, and economic implications of AI and how these intelligent machines are redefining the very concept of what it means to be human. With an accessible yet rigorous approach, "The Evolution of Artificial Intelligence" is a must-read for anyone interested in understanding the present and future of this fascinating technology.
Distributed Ledger Technology Experiments in Payments and Settlements
Major transformations in payment and settlements have occurred in generations. The first generation was paper-based. Delivery times for payment instruments took several days domestically and weeks internationally. The second generation involved computerization with batch processing. Links between payment systems were made through manual or file-based interfaces. The change-over period between technologies was long and still some paper-based instruments like checks and cash remain in use. The third generation, which has been emerging, involves electronic and mobile payment schemes that enable integrated, immediate, and end-to-end payment and settlement transfers. For example, real-time gross ...
Issuance of Central Bank Securities
The paper discusses the reasons for central bank (CB) issuance of securities, and reasons for choosing different approaches e.g. in maturities and target market. It provides evidence on the range of different approaches taken by those CBs which do issue, as well as suggesting reasons why some CBs do not; and provides operational guidelines on the major building blocks of the issuance of CB securities.
Trust Bridges and Money Flows
Cross-border payments are expensive, slow, and opaque. These problems reflect multiple frictions, many of which boil down to limited trust among counterparties. Trust plays a central role in exchanging credit-based money. End users need to trust the issuers of money, and issuers must trust users to satisfy financial integrity requirements. Transactions are possible only where trust links exist. Interoperability between different forms of money can thus be conceptualized as the network of trusted links necessary for transactions. Traditionally, across borders, trust links involve exclusive bilateral credit relationships among correspondent banks. However, the fixed costs required to build these links foster an expensive and concentrated system. This paper interprets different payment arrangements in terms of the implied trust structures. It discusses how the tokenization of money alters trust links and allows for a potentially more efficient market structure to exchange money. The paper ends with a suggested global marketplace to trade tokenized money directly across borders.
