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Business and Economics > Finance: General

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Cover FinTech Notes
Estimating the Impact of Digital Money on Cross-Border Flows: Scenario Analysis Covering the Intensive Margin
Eugenio M Cerutti
,
Melih Firat
, and
Hector Perez-Saiz
Digital money and digital payments innovations have the potential for improving cross-border payments by reducing costs, enhancing speed, and improving transparency. This note performs an empirical analysis of the potential impact of digital money on the volume and transaction costs of cross-border payments, with a focus on the short-term intensive margin. The market of cross-border payments is very large, with retail transactions having a low share of the total but the highest transaction costs, particularly for remittances. Our illustrative scenarios assume an estimated 60 percent reduction in transaction costs and short-term elasticities to changes in costs estimated from remittances data. The results show two outcomes. First, the cross-border volume increases could be sizable for countries that are large remittance recipients and face expensive transaction costs. Second, even with a large drop in transaction costs, the short-term rise in global cross-border transaction volumes could be limited as a result of the low transaction costs of the wholesale segment. Moving outside the short-term intensive margin, the impact could potentially be much larger as digital currencies and other digital payments innovations—together with tokenization of assets on programmable platforms—could move the financial system into a transformative new era by fostering financial development and promoting further inclusion across borders.
Keywords:
Digital money; cross-border payments; transaction costs; digital payments; payments innovation; cross-border payment; scenario analysis; IMF Fintech Brownbag Seminar; IMF seminar; Remittances; Central Bank digital currencies; Anti-money laundering and combating the financing of terrorism (AML/CFT); Correspondent banking; Global
Cover IMF Working Papers
Spillovers from Large Emerging Economies: How Dominant Is China?
Hany Abdel-Latif
and
Adina Popescu
This paper investigates the global economic spillovers emanating from G20 emerging markets (G20-EMs), with a particular emphasis on the comparative influence of China. Employing a Bayesian Global Vector Autoregression (GVAR) model, we assess the impacts of both demand-side and supply-side shocks across 63 countries, capturing the nuanced dynamics of global economic interactions. Our findings reveal that China's contribution to global economic spillovers significantly overshadows that of other G20-EMs. Specifically, China's domestic shocks have significantly larger and more pervasive spillover effects on global GDP, inflation and commodity prices compared to shocks from other G20-EMs. In contrast, spillovers from other G20-EMs are more regionally contained with modest global impacts. The study underscores China's outsized role in shaping global economic dynamics and the limited capacity of other G20-EMs to mitigate any potential negative implications from China's economic slowdown in the near term.
Keywords:
Emerging Economies; Growth Spillover; Global transmission; GVAR model; outsized role; China's contribution; IMF working paper No. 25/27; domestic shock; Spillovers; Supply shocks; Emerging and frontier financial markets; Oil prices; Global value chains; Global
Cover Finance & Development
Finance & Development, December 2024: Finance & Development, December 2024
International Monetary Fund. Communications Department
Finance & Development, December 2024
Keywords:
housing sector; IMF photo; affordability crisis; cotton textile industry; housing supply; Housing prices; Housing; Mortgages; Global financial crisis of 2008-2009; Global; Africa; Caribbean; Europe; Middle East
Cover Staff Climate Notes
Embedded in Nature: Nature-Related Economic and Financial Risks and Policy Considerations
Charlotte Gardes-Landolfini
,
William Oman
,
Jamie Fraser
,
Mariza Montes de Oca Leon
, and
Bella Yao
The economy is embedded in, and dependent on, nature. Yet economic activity is degrading nature at an unprecedented pace. Interacting with climate change, nature loss and transformation generates significant threats to the global economy and financial system. However, work on the implications of nature-related risks for macroeconomic and financial sector policies remains at an early stage. This note seeks to contribute to this emerging policy space in three main ways: (i) it proposes a conceptual framework for understanding nature-related risks by mapping out macroeconomic transmission channels, emphasizing their impact on the economy and financial systems through “double materiality;” (ii) it conducts empirical analysis, finding that nearly 38 percent of bank loans of the 100 largest global banks are to harmful subsidies-dependent sectors and 44 percent are exposed to conservation areas under the Global Biodiversity Framework, and that industries most exposed to nature degradation are not well prepared to manage these risks; and (iii) it discusses takeaways for macroeconomic and financial sector policies and frameworks.
Keywords:
nature; environment; macroeconomics; macroeconomic policies; financial stability; banks; nature-related risks; financial regulation; financial supervision; Minsky moment; ecosystem services; planetary boundaries.; IMF staff climate note; ecosystem service; biodiversity loss; biodiversity conservation; biodiversity hotspot; Environmental policy; Climate change; Financial sector policy; Natural resources; Global
Cover Policy Papers
Annual Update on SDR Trading Operations
International Monetary Fund. Finance Dept.
This paper provides an update on the status of the SDR trading market and operations. For more than three decades, SDRs have exclusively been exchanged for freely usable currencies in transactions by agreement, primarily through the Voluntary Trading Arrangements (VTAs). A small fraction of transactions by agreement—sales or acquisitions of SDRs—has been arranged directly between parties. VTAs are bilateral arrangements between the Fund and SDR department participants or prescribed holders, in which the VTA participants agree to buy and sell SDRs within certain limits. The paper covers SDR trading operations during the period September 2023 to August 2024.
Keywords:
SDR trading capacity; SDR sale; SDR department participant; SDR amount; IMF SDR webpage; SDR interest rate; Currencies; Liquidity; Trading arrangements; Freely usable currencies; Middle East and Central Asia
Cover IMF Working Papers
Programmability in Payment and Settlement
Xavier Lavayssière
and
Nicolas Zhang
Programmability in payment and settlement has yet to realize its potential to support policy goals such as efficiency, safety, and innovation. This paper proposes a comprehensive framework for understanding and evaluating programmability. It explores two key dimensions: external programmatic access, which is the ability for external participants to access the system data and functions with code, and internal programmatic capabilities, the extent to which internal execution of programs is supported and guaranteed. By developing strategies based on these dimensions, financial institutions, regulators, and related actors can better improve resilience, reduce costs and interoperability, all while managing associated risks. The resulting hybrid systems are coordinated efforts balancing the advantages of permissionless blockchains, such as composability, with regulatory requirements and a wider range of technologies. The paper describes these programmatic models to inform and guide the development of digital finance, bridging policy discussions with technical considerations.
Keywords:
Programmability; Tokenization; Automation; Payment; Settlement; closed-loop payment system; blockchain infrastructure; payment category; settlement mechanism; financial asset; settlement system; Smart contracts; Payment systems; Blockchain and DLT; Global
Cover IMF Working Papers
Cross-Border Payments Integration in Latin America and the Caribbean
Dimitris Drakopoulos
,
Yibin Mu
,
Dmitry Vasilyev
, and
Mauricio Villafuerte
Cross-border payment inefficiencies are a significant barrier to trade both within Latin America and the Caribbean (LAC) and between LAC and other regions. This paper provides a comprehensive review of historical efforts undertaken by various countries within the LAC region to address these challenges. We also explore the potential of recent financial innovations, such as digital currencies and blockchain technology, to enhance cross-border payments. While new technologies do not substitute for prudent and credible macroeconomic policies, leveraging these technologies can help LAC countries reduce transaction costs and times, thus enhancing economic efficiency and fostering deeper regional and global trade relationships.
Keywords:
Cross-Border Payments; Financial Innovation; International Trade; Economic Integration.; LAC payment infrastructure; payment arrangement; cross-border payment inefficiency; integration in Latin America and the Caribbean; cross-border payments integration; Payment systems; Currencies; Financial inclusion; Anti-money laundering and combating the financing of terrorism (AML/CFT); Caribbean; Central America; South America; Global; East Asia
Cover IMF Working Papers
Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis
Mauro Cazzaniga
,
Carlo Pizzinelli
,
Emma J Rockall
, and
Marina Mendes Tavares
We document historical patterns of workers' transitions across occupations and over the life-cycle for different levels of exposure and complementarity to Artificial Intelligence (AI) in Brazil and the UK. In both countries, college-educated workers frequently move from high-exposure, low-complementarity occupations (those more likely to be negatively affected by AI) to high-exposure, high-complementarity ones (those more likely to be positively affected by AI). This transition is especially common for young college-educated workers and is associated with an increase in average salaries. Young highly educated workers thus represent the demographic group for which AI-driven structural change could most expand opportunities for career progression but also highly disrupt entry into the labor market by removing stepping-stone jobs. These patterns of “upward” labor market transitions for college-educated workers look broadly alike in the UK and Brazil, suggesting that the impact of AI adoption on the highly educated labor force could be similar across advanced economies and emerging markets. Meanwhile, non-college workers in Brazil face markedly higher chances of moving from better-paid high-exposure and low-complementarity occupations to low-exposure ones, suggesting a higher risk of income loss if AI were to reduce labor demand for the former type of jobs.
Keywords:
Artificial intelligence; Employment; Occupations; Emerging Markets; AI adoption; college-educated worker; structural change; stepping-stone job; workers in Brazil; Labor markets; Wages; Labor force
Cover IMF Working Papers
Monitoring Privately-held Firms' Default Risk in Real Time: A Signal-Knowledge Transfer Learning Model
Jorge A Chan-Lau
,
Ruofei Hu
,
Luca Mungo
,
Ritong Qu
,
Weining Xin
, and
Cheng Zhong
We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to construct a probability of default (PD) function. This function integrates high-frequency, market-based, aggregate distress signals with low-frequency, firm-level financial ratios, and macroeconomic indicators. When provided with private firms' financial ratios, the model, which we name signal-knowledge transfer learning model (SKTL), transfers insights gained from 35 thousand publicly-traded firms to more than 4 million private-held ones and performs well as an ordinal measure of privately-held firms' default risk.
Keywords:
Default risk; Corporate sector; Privately-held firm; Gradient boosting; Transfer learning; signal-knowledge transfer learning model; publicly-traded firm; gradient-boosting model; transfers insight; held firm; Financial statements; Debt default; Solvency; Credit risk; Europe; North America; Global; Asia and Pacific
Cover Analytical Notes
Guidance Note For Developing Government Local Currency Bond Markets
International Monetary Fund
and
World Bank
This guidance note was prepared by International Monetary Fund (IMF) and World Bank Group staff under a project undertaken with the support of grants from the Financial Sector Reform and Strengthening Initiative, (FIRST).The aim of the project was to deliver a report that provides emerging market and developing economies with guidance and a roadmap in developing their local currency bond markets (LCBMs). This note will also inform technical assistance missions in advising authorities on the formulation of policies to deepen LCBMs.
Keywords:
AN; market development; repo market; investor base; reverse repo; government securities; price discovery; banking sector; market-making privilege; market regulation; market fragmentation; repo market development; market infrastructure; Government securities; Securities; Bonds; Securities markets; Government debt management; Global; Africa; East Asia; currency bond markets; IMF expert; government bond market development; bond market reform plans; government debt market; bond market Association; IMF Library; Yield curve; Southeast Asia; Money markets