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Western Hemisphere > Argentina

You are looking at 1 - 10 of 386 items for :

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Cover IMF Working Papers
Extreme Weather Events, Agricultural Output, and Insurance: Evidence from South America
Juliette Caucheteux
,
Jonas Nauerz
, and
Svetlana Vtyurina
Extreme weather has profoundly affected countries across South America (SA), given the importance of the agricultural sector for the economies. However, these effects have not yet been properly measured. In our study, we construct a unique dataset of high-frequency satellite data on temperature, precipitation, and a Normalized Difference Vegetation Index (NDVI) that proxies the agricultural yield in selected countries. In particular, we then examine the effect of droughts on agricultural yields (soy output) and find that they have a significant negative impact and that there is heterogeneity in the response across countries. While insurance could help protect farmers against severe losses, coverage in the region is low, and barriers remain high. Building on existing literature and using a calibrated structural model, we highlight the benefits of insurance for Total Factor Productivity (TFP) and offer some recommendations for its expansion.
Keywords:
Agriculture; Productivity; NDVI; SPEI; Weather; Drought; Insurance; South America; weather event; soy output; loss from drought; benefits of insurance; NDVI in Brazil; Natural disasters; Agricultural sector; Agricultural production; Insurance companies; Caribbean
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 IMF Working Papers
The Scalability of Credit-Enhanced EM Climate Debt: What Role Can Guarantees, Collateralization, Securitizations, and Investment Funds Play?
Peter Lindner
,
Ananthakrishnan Prasad
, and
Jean-Marie Masse
This paper reviews the main types of credit enhancement approaches used to support climate debt issuances by EMDE borrowers. Fragmentation on the part of the providers of credit enhancements was identified as a major factor impeding scalability of credit-enhanced debt. The acceptance of credit-enhanced debt is also hampered by the structural characteristics of the capital markets, especially the fragmentation of the investor base. To place significant amounts of credit-enhanced climate debt with private sector investors, MDBs, DFIs, and other stakeholders should focus on simple and replicable debt structures. Securitizations and investment funds could help fund private sector climate investments in EMDEs.
Keywords:
Credit enhancements; blended finance; debt-for-climate swaps; climate mitigation; climate adaptation; climate finance; guarantees; securitization.; climate debt; B. credit enhancement; EMDE investor base; enhancement approach; replicable debt structure; capital market consideration; Bonds; Loans; Credit; Securities; Global
Cover IMF Working Papers
Inelastic Demand Meets Optimal Supply of Risky Sovereign Bonds
Matías Moretti
,
Lorenzo Pandolfi
,
German Villegas Bauer
,
Sergio L. Schmukler
, and
Tomás Williams
We present evidence of inelastic demand for risky sovereign bonds and explore its implications for optimal government debt policies. Using monthly changes in the composition of a major international bond index, we identify flow shocks unrelated to fundamentals that shift the available bond supply. From these shocks, we estimate an inverse demand elasticity of -0.30 and show that it increases with countries’ default risk. We formulate a sovereign debt model with endogenous default and inelastic investors, calibrated to our empirical estimates. By penalizing additional borrowing, an inelastic demand acts as a disciplining device that reduces default risk and bond spreads.
Keywords:
inelastic financial markets; institutional investors; international capital markets; sovereign debt; IMF working paper research Department; debt issuance; price reaction; convenience yield; default cost parameter; long-term debt; U.S. dollar; bond payoff; investor demand; bond characteristics-month; inelastic investor; bond price change; unit price; price movement; Bonds; Asset prices; Demand elasticity; Debt default; Sovereign bonds; Global
Cover IMF Working Papers
Reported Social Unrest Index: September 2024 Update
Philip Barrett
This is the third update of the reported Social Unrest Index (Barrett et al. 2022), describing the evolution of social unrest worldwide since June 2023. It shows that the global incidence of unrest has stayed broadly stable in the last year. However, the global distribution has not been even, with a concentration of major events in Europe and sub-Saharan Africa and, to a lesser extent, in the Western Hemisphere.
Keywords:
Social unrest; Media coverage; unrest event; RSUI data; unrest index; copyright page; RSUI-defined event; Stock markets; COVID-19; Western Hemisphere; Global; Sub-Saharan Africa; Europe
Cover IMF Working Papers
Crypto as a Marketplace for Capital Flight
Clemens M. Graf von Luckner
,
Robin Koepke
, and
Silvia Sgherri
This paper shows how cryptocurrency markets can fuel cross-border capital flight by serving as marketplaces that match counterparts with and without (illicit) access to FX. In countries where international transactions are restricted, crypto exchanges effectively allow domestic agents to pay a premium to buy foreign currency. The counterparts to these transactions are agents with access to FX, who sell crypto holdings purchased abroad. A stylized model illustrates that restricted foreign currency amid economic imbalances incentivizes these transactions via persistent crypto premia in local relative to global markets. We analyze relative crypto pricing data in several country case studies, providing empirical support that crypto markets serve as marketplaces for capital flight that already took place, rather than a novel channel for capital flight. We make available a novel dataset on crypto market premia, which we propose as indicators of excess demand for foreign currency and capital control intensity. The dataset will be posted along with this paper and updated periodically.
Keywords:
Capital flows; digital money; capital controls; cryptocurrency market; cross-border capital flight; crypto market; trading illicit capital flight; IMF working paper 24/133; Capital outflows; Currencies; 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
A Primer on Bitcoin Cross-Border Flows: Measurement and Drivers
Eugenio M Cerutti
,
Jiaqian Chen
, and
Martina Hengge
The rapid growth of crypto assets raises important questions about their cross-border usage. To gain a better understanding of cross-border Bitcoin flows, we use raw data covering both on-chain (on the Bitcoin blockchain) and off-chain (outside the Bitcoin blockchain) transactions globally. We provide a detailed description of available methodologies and datasets, and discuss the crucial assumptions behind the quantification of cross-border flows. We then present novel stylized facts about Bitcoin cross-border flows and study their global and domestic drivers. Bitcoin cross-border flows respond differently than capital flows to traditional drivers of capital flows, and differences appear between on-chain and off-chain Bitcoin cross-border flows. Off-chain cross-border flows seem correlated with incentives to avoid capital flow restrictions.
Keywords:
Crypto assets; Bitcoin; Cross-border flows; Capital flows; bitcoin blockchain; capital flow restriction; bitcoin flow; cross-border flow; Bitcoin transaction; Blockchain and DLT; Currencies; Financial activity tax; Global
Cover IMF Working Papers
Public Debt Dynamics During the Climate Transition
Daniel Garcia-Macia
,
Waikei R Lam
, and
Anh D. M. Nguyen
Managing the climate transition presents policymakers with a tradeoff between achieving climate goals, fiscal sustainability, and political feasibility, which calls for a fiscal balancing act with the right mix of policies. This paper develops a tractable dynamic general equilibrium model to quantify the fiscal impacts of various climate policy packages aimed at reaching net zero emissions by mid-century. Our simulations show that relying primarily on spending measures to deliver on climate ambitions will be costly, possibly raising debt by 45-50 percent of GDP by 2050. However, a balanced mix of carbon-pricing and spending-based policies can deliver on net zero with a much smaller fiscal cost, limiting the increase in public debt to 10-15 percent of GDP by 2050. Carbon pricing is central not only as an effective tool for emissions reduction but also as a revenue source. Delaying carbon pricing action could increase costs, especially if less effective measures are scaled up to meet climate targets. Technology spillovers can reduce the costs but bottlenecks in green investment could unwind the gains and slow the transition.
Keywords:
Climate change; mitigation; public debt; carbon pricing; subsidies; public investment; industrial policies; dynamic general equilibrium.; technology spillover; investment bottleneck; No. 2024/71; mix of carbon-pricing; adjustment cost parameter; Emerging and frontier financial markets; Climate finance; Climate policy; Global
Cover IMF Working Papers
Predicting IMF-Supported Programs: A Machine Learning Approach
Tsendsuren Batsuuri
,
Shan He
,
Ruofei Hu
,
Jonathan Leslie
, and
Flora Lutz
This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model robustness with regard to different feature sets and time periods. ML models consistently outperform traditional methods in out-of-sample prediction of new IMF-supported arrangements with key predictors that align well with the literature and show consensus across different algorithms. The analysis underscores the importance of incorporating a variety of external, fiscal, real, and financial features as well as institutional factors like membership in regional financing arrangements. The findings also highlight the varying influence of data processing choices such as feature selection, sampling techniques, and missing data imputation on the performance of different ML models and therefore indicate the usefulness of a flexible, algorithm-tailored approach. Additionally, the results reveal that models that are most effective in near and medium-term predictions may tend to underperform over the long term, thus illustrating the need for regular updates or more stable – albeit potentially near-term suboptimal – models when frequent updates are impractical.
Keywords:
Early warning systems; IMF Lending; Machine Learning; IMF arrangement; ML model; machine learning approach; state-of-the-art machine learning; machine learning model; Emergency assistance; Data processing; Global financial crisis of 2008-2009; Global