Back in the early 1990s, economists and policy makers had high expectations about the prospects for domestic capital market development in emerging economies, particularly in Latin America. Unfortunately, they are now faced with disheartening results. Stock and bond markets remain illiquid and segmented. Debt is concentrated at the short end of the maturity spectrum and denominated in foreign currency, exposing countries to maturity and currency risk. Capital markets in Latin America look particularly underdeveloped when considering the many efforts undertaken to improve the macroeconomic environment and to reform the institutions believed to foster capital market development. The disappointing performance has made conventional policy recommendations questionable, at best. 'Emerging Capital Markets and Globalization' analyzes where we stand and where we are heading on capital market development. First, it takes stock of the state and evolution of Latin American capital markets and related reforms over time and relative to other countries. Second, it analyzes the factors related to the development of capital markets, with particular interest on measuring the impact of reforms. And third, in light of this analysis, it discusses the prospects for capital market development in Latin America and emerging economies and the implications for the reform agenda.

Many questions have been raised about America's status in the increasingly interconnected global economy. Yet key factsâ€"such as the amount of foreign assets abroad owned by U.S. citizensâ€"are not known. The crucial data needed to assess the U.S. position are unavailable. This volume explores significant shortcomings in U.S. data on international capital transactions and their implications for policymakers. The volume offers clearcut recommendations for U.S. agencies to bring data collection and analyses of the global economy into the twenty-first century. The volume explores: How factors emerging since the early 1980s have shaped world financial markets and revealed shortcomings in data collection and analysis. How the existing U.S. data system works and where it fails how measurements of international financial transactions are recorded; and how swaps, options, and futures present special reporting problems. How alternative methods, such as collecting data, from sources such as global custodians and international clearinghouses, might improve coverage and accuracy.

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.