Trade finance is the backbone of international trade for entities ranging from a small businesses to multi-national corporations. An estimated 80 percent of world trade relies on this form of finance (WTO, 2017). Despite its systemic importance and rapid growth, data availability is only partial. During the 2008 financial crisis, policy makers, notably the G20 recognized that the absence of comprehensive trade finance data posed a significant hurdle for policy-makers to make informed, timely decisions. This paper proposes a stand-alone dataset to reflect the scope, dynamic and recent innovations of the trade finance market to support macroeconomic policy analysis.

This report updates the 2009 IEO evaluation of IMF Involvement in International Trade Policy Issues. Since then, the composition and structure of international trade have evolved, but trade has not regained its former dynamism. With increasing concern about potential winners and losers from trade, there has been a loss of political support for globalization, increasing trade tensions and protectionism, and the institutional framework supporting multilateral trade has come under heavy strain. The report concludes that overall the IMF deserves considerable credit for its active and timely response, playing a prominent role in championing commitment to an open, rules-based multilateral trading system. The Fund has largely implemented the recommendations of the 2009 evaluation and has strengthened and consolidated its trade policy analysis and advice, appropriately focusing on the key macroeconomic effects and associated risks of trade policy developments at the national and international levels. IMF advocacy on trade has been underpinned by a major expansion in the attention to trade policy issues in multilateral surveillance—and to some extent in bilateral surveillance—supported by high-quality research and analysis, building on the Fund’s well-established modeling capacity. Looking forward, the Fund will need to sustain its current high level of advocacy and analysis on trade policy issues and consider how to increase the overall impact of this work. Key challenges include: contributing to foster a recommitment to trade policy cooperation; further attention to translating multilateral surveillance into bilateral policy advice; consolidating relations with partner institutions; and increased attention to rapidly developing trade policy issues. Across all these dimensions, care will be needed to ensure appropriate evenhandedness in trade policy surveillance across countries. A holistic review of the IMF’s “trade strategy” would help to guide trade policy work and the allocation of scarce resources among competing priorities.

This paper outlines key changes in the global trade landscape in recent years, reviews the role of the Fund in this area, and outlines a trade strategy for the Fund going forward. The analysis points to three key messages. First, while trade has been resilient vis-à-vis recent global shocks, the deteriorating trade policy environment poses risks to the current levels of prosperity. Second, the Fund has responded quickly to key trade developments in its multilateral surveillance, but attention to trade policy has declined pointing to the need of improved expertise. Third, a reinvigorated trade strategy for the Fund would help country authorities to address key challenges, including adjusting to structural changes associated with climate change and new technologies; promoting policy coherence between trade and non-trade objectives such as climate, inequality, and security; and managing rising geopolitical tensions and risks of geo-economic fragmentation.

FinTech is a major force shaping the structure of the financial industry in sub-Saharan Africa. New technologies are being developed and implemented in sub-Saharan Africa with the potential to change the competitive landscape in the financial industry. While it raises concerns on the emergence of vulnerabilities, FinTech challenges traditional structures and creates efficiency gains by opening up the financial services value chain. Today, FinTech is emerging as a technological enabler in the region, improving financial inclusion and serving as a catalyst for the emergence of innovations in other sectors, such as agriculture and infrastructure.

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 paper finds that while there are important regional and national differences, countries are broadly embracing the opportunities of fintech to boost economic growth and inclusion, while balancing risks to stability and integrity.

This paper provides a theory model of trade finance to explain the "great trade collapse." The model shows that, first, the riskiness of international transactions rises relative to domestic transactions during economic downturns, and second, the exclusive use of a letter of credit in international transactions exacerbates a collapse in trade during a financial crisis. The basic model considers banks' optimal screening decisions in the presence of counterparty default risks. In equilibrium, banks will maintain a higher precision screening test for domestic firms and a lower precision screening test for foreign firms, which constitutes the main mechanism of the model.