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This study reviews the literature on the origins of currency and banking crises. It presents empirical tests on the performance of alternative early-warning indicators for emerging-market economies. The book also identifies crisis-threshold values for early-warning indicators.
Household financial fragility has received considerable attention following the global financial crisis, but substantial gaps remain in the analytical underpinnings of household financial vulnerability assessment, as well as in data availability. This paper aims at integrating the contributions in the literature in a coherent fashion. The study proposes also analytical and estimation extensions aimed at improving the quality of estimates and allowing the assessment of household financial vulnerability in presence of data limitations. The result of this effort is a comprehensive framework, that has wide applicability to both advanced and developing economies. For illustrative purposes the paper includes a detailed application to one developing country (Namibia).
The October 2019 Global Financial Stability Report (GFSR) identifies the current key vulnerabilities in the global financial system as the rise in corporate debt burdens, increasing holdings of riskier and more illiquid assets by institutional investors, and growing reliance on external borrowing by emerging and frontier market economies. The report proposes that policymakers mitigate these risks through stricter supervisory and macroprudential oversight of firms, strengthened oversight and disclosure for institutional investors, and the implementation of prudent sovereign debt management practices and frameworks for emerging and frontier market economies.
Emerging markets are increasingly facing significant challenges, from a slowdown in productivity, rising debt, and trade tensions to the adverse effects of proliferating global uncertainty on domestic financial systems. This incisive Handbook examines the ongoing dynamics of global financial markets and institutions within the context of such rising uncertainty and provides a comprehensive overview of innovative models in banking and finance.
This last issue for 2005 comprises seven new papers, including a contribution to the journal's occasional Special Data Section about domestic debt markets in Sub-Saharan Africa, and also an in-depth look at the internal job market for entry-level economists at the IMF. The remaining articles cover toics as diverse as: modeling of asset markets, exchange rates in developing countries, international bank claims on Latin America, the effectiveness of "early warning" systems, and the use (by emerging market countries) of the IMF's Special Data Dissemination Standard (SDDS).
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.
The global economy has experienced four waves of rapid debt accumulation over the past 50 years. The first three debt waves ended with financial crises in many emerging market and developing economies. During the current wave, which started in 2010, the increase in debt in these economies has already been larger, faster, and broader-based than in the previous three waves. Current low interest rates mitigate some of the risks associated with high debt. However, emerging market and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood that the current debt wave will end in crisis and, if crises do take place, will alleviate their impact.
This paper examines contractionary currency crashes in developing countries. It explores the causes of India’s productivity surge around 1980, more than a decade before serious economic reforms were initiated. The paper finds evidence that the trigger may have been an attitudinal shift by the government in the early 1980s that, unlike the reforms of the 1990s, was pro-business rather than pro-market in character, favoring the interests of existing businesses rather than new entrants or consumers. A relatively small shift elicited a large productivity response, because India was far away from its income possibility frontier.
This book features technical portrayals of today’s constantly developing banking issues; including stock market contagion, the impact of internet technology (IT) and financial innovation on stock markets, and a perspective on the loan puzzle in emerging markets.
We explore empirically how the time-varying allocation of credit across firms with heterogeneous credit quality matters for financial stability outcomes. Using firm-level data for 55 countries over 1991-2016, we show that the riskiness of credit allocation, captured by Greenwood and Hanson (2013)’s ISS indicator, helps predict downside risks to GDP growth and systemic banking crises, two to three years ahead. Our analysis indicates that the riskiness of credit allocation is both a measure of corporate vulnerability and of investor sentiment. Economic forecasters wrongly predict a positive association between the riskiness of credit allocation and future growth, suggesting a flawed expectations process.