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Marianne Bechara
,
Wouter Bossu
,
Amira Rasekh
,
Chia Yi Tan
, and
Akihiro Yoshinaga
In designing central bank digital currencies (CBDCs), it is imperative that central banks carefully consider its legal foundations. As with any form of money, CBDCs require a solid basis under public and private law to provide it with the necessary legal certainty and political support that will underpin its wide circulation. This Fintech Note examines the private law aspects of token-based CBDC primarily intended for retail use. It follows a previous IMF working paper that examines the legal foundations of CBDC under central bank law and its treatment under monetary law—the main public law aspects of CBDC.
International Monetary Fund. European Dept.
This Selected Issues paper highlights recent trends in the Kosovo labor market and emigration. Like other Western Balkan countries, Kosovo experienced a sharp decline in population over the previous decade, as emigration increased. Using a structural model of the labor market and migration, the paper examines the potential impact of further EU integration. While lower migration costs hurt the economy, productivity convergence brought on by EU integration has an offsetting impact by increasing wages, lowering unemployment, and increase immigration. Policy simulations show that policymakers have a diverse set of tools—including structural reforms, active labor market policies, business support, and labor participation support—to boost potential and support the labor market. A key result from the policy simulations is that, while the policies target various stages of the labor market, they have similar macroeconomic impacts. In this regard, it is important for policymakers to focus on policies with the largest potential impact relative to the cost of implementation. Additionally, policies should be combined with careful monitoring and updating to ensure that they remain effective and efficient.
International Monetary Fund. Monetary and Capital Markets Department

Abstract

Chapter 1 shows that although near-term financial stability risks have remained contained, mounting vulnerabilities could worsen future downside risks by amplifying shocks, which have become more probable because of the widening disconnect between elevated economic uncertainty and low financial volatility. Chapter 2 presents evidence that high macroeconomic uncertainty can threaten macrofinancial stability by exacerbating downside tail risks to markets, credit supply, and GDP growth. These relationships are stronger when debt vulnerabilities are elevated, or financial market volatility is low (during episodes of a macro-market disconnect). Chapter 3 assesses recent developments in AI and Generative AI and their implications for capital markets. It presents new analytical work and results from a global outreach to market participants and regulators, delineates potential benefits and risks that may arise from the widespread adoption of these new technologies, and makes suggestions for policy responses.

International Monetary Fund. Asia and Pacific Dept
The 2024 Article IV Consultation with Singapore highlights that following a slowdown in 2023, growth is projected to recover gradually to 2.1 percent in 2024. After reaching 6.1 percent in 2022, inflation has steadily declined to 2.7 percent in April 2024. The pace of disinflation has nonetheless been gradual, with signs of persistent price pressures including from a tight labor market. With risks to global growth now broadly balanced, downside risks to growth outlook have diminished relative to last year, but Singapore remains vulnerable to a deepening of geo-economic fragmentation. Inflation risks remain tilted to the upside. The broadly neutral fiscal stance relative to 2023 will complement the tight monetary policy stance in achieving price stability, while targeted support to vulnerable households and firms will provide temporary relief from high costs of living and business. Singapore’s financial sector remains resilient with solid capital and liquidity buffers, though vigilance against pockets of vulnerabilities is warranted, including from potential systemic risks arising from the housing market. In this context, the tight macroprudential policy stance remains appropriate.
Angelo D’Andrea
,
Patrick Hitayezu
,
Kangni R Kpodar
,
Nicola Limodio
, and
Andrea F Presbitero
Combining administrative data on credit, internet penetration and a land reform in Rwanda, this paper shows that the complementarity between technology and law can overcome financial frictions. Leveraging quasi-experimental variation in 3G availability from lightning strikes and incidental coverage, we show that mobile connectivity steers borrowers from microfinance to commercial banks and improves loan terms. These effects are partly due to the role of 3G internet in facilitating the acquisition of land titles from the reform, used as a collateral for bank loans and mortgages. We quantify that the collateral's availability mediates 35% of the overall effect of mobile internet on credit and 80% for collateralized loans.
Khaled AlAjmi
,
Jose Deodoro
,
Mr. Ashraf Khan
, and
Kei Moriya
Using the 2010, 2015, and 2020/2021 datasets of the IMF’s Central Bank Legislation Database (CBLD), we explore artificial intelligence (AI) and machine learning (ML) approaches to analyzing patterns in central bank legislation. Our findings highlight that: (i) a simple Naïve Bayes algorithm can link CBLD search categories with a significant and increasing level of accuracy to specific articles and phrases in articles in laws (i.e., predict search classification); (ii) specific patterns or themes emerge across central bank legislation (most notably, on central bank governance, central bank policy and operations, and central bank stakeholders and transparency); and (iii) other AI/ML approaches yield interesting results, meriting further research.
Ms. Mitali Das
,
Mr. Tommaso Mancini Griffoli
,
Fumitaka Nakamura
,
Ms. Julia Otten
,
Gabriel Soderberg
,
Mr. Juan Sole
, and
Brandon Tan
This fintech note presents an analysis of the implications of central bank digital currency (CBDC) for monetary policy. In our framework, the implications of CBDC issuance on monetary policy are intermediated by its impact on key parts of the macroeconomic environment. The note also makes a distinction between “level effects”—whereby the introduction of CBDCs could tighten or loosen financial conditions as a shock—and “transmission effects,” whereby CBDCs change the impact of a given monetary policy shock on output, employment, and inflation. In general, the effects of CBDCs on monetary policy transmission are expected to be relatively small in normal times; however, these effects can be more significant in an environment with low interest rates or financial market stress.
World Trade Organization
,
Organization for Economic Co-operation and Development
,
International Monetary Fund
, and
United Nations

Abstract

Digital technologies have made it increasingly feasible for buyers and sellers to place and receive orders on a global scale. They also enable the instantaneous remote delivery of services directly into businesses and homes, including internationally. The Handbook on Measuring Digital Trade sets out a conceptual and measurement framework for digital trade that aligns with the broader standards for macroeconomic statistics. It aims to help statistical compilers to address policymakers’ needs for statistical evidence on digital trade. It includes extensive compilation guidance, drawing upon substantive inputs and case studies from both developed and developing economies and covering a variety of survey and non-survey sources. This second edition of the Handbook builds upon the concepts set out in the first edition, published in 2019. Focusing on cross-border digitally ordered goods and services, on digitally delivered services, and on the role played by digital intermediation platforms the Handbook provides a framework and template for the compilation of internationally comparable statistics on digital trade.

Ms. Inutu Lukonga
Central bank digital currencies (CBDCs) promise many benefits but, if not well designed, they could have undesired consequences, including for monetary policy. Issuing an unremunerated CBDC or a wholesale CBDC does not change the objectives of monetary policy or the operational framework for monetary policy. CBDCs can, however, induce changes in the retail, wholesale and cross border payments that have negative spillover effects on monetary policy, through their effects on money velocity, bank deposit disintermediation, volatility of bank reserves, currency substitution, and capital flows. Countries most vulnerable are those with banking systems dominated by small retail deposits and demand deposits, low levels of digital payments and weak macro fundamentals. Proposed CBDC design features, such as caps on CBDC holdings and unremunerating the CBDC can moderate disintermediation risks, but they are not sufficient. Central banks will need to ensure that unintended macroeconomic risks are comprehensively identified and mitigated.
Mr. Jorge A Chan-Lau
,
Ruofei Hu
,
Maksym Ivanyna
,
Ritong Qu
, and
Cheng Zhong
Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis prevention and mitigation policies. This paper introduces surrogate data models as dimensionality reduction tools in large-scale crisis prediction models. The appropriateness of this approach is assessed by their application to large-scale crisis prediction models developed at the IMF. The results are consistent with economic intuition and validate the use of surrogates as interpretability tools.