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International Monetary Fund. Policy Development and Review Dept.
On October 11, 2024, the IMF’s Executive Board concluded the Review of Charges and the Surcharge Policy. The review is part of a broader ongoing effort to ensure that the IMF’s lending policies remain fit for purpose to meet the evolving needs of the membership. Charges and surcharges are important elements of the IMF’s cooperative lending and risk-management framework, where all members contribute and all can benefit from support when needed. Together, they cover lending intermediation expenses, help accumulate reserves to protect against financial risks, and provide incentives for prudent and temporary borrowing. This provides a strong financial foundation that allows the IMF to extend vital balance of payments support on affordable terms to member countries when they need it most.



Against the backdrop of a challenging economic environment and high global interest rates, the Executive Board reached consensus on a comprehensive package of reforms that substantially reduces the cost of borrowing for members while safeguarding the IMF's financial capacity to support countries in need. The approved measures will lower IMF borrowing costs by about US$1.2 billion annually or reduce payments on the margin of the rate of charge as well as surcharges on average by 36 percent. The number of countries subject to surcharges in fiscal year 2026 is expected to fall from 20 to 13.



Key reforms include a reduction in the margin for the rate of charge, an increase in the threshold for level-based surcharges, a reduction in rate for time-based surcharges, an alignment of thresholds for commitment fees with annual and cumulative access limits for GRA lending facilities, and institution of regular reviews of surcharges.



The series of three papers informed the Executive Board’s first and second informal engagements (July and September 2024) and the formal meeting (October 2024) on this review.
Lahcen Bounader
and
Selim A Elekdag
We develop a model with diagnostic expectations (DE) and a financial accelerator (FA) that generates mutually reinforcing shock amplification, especially in the case of demand shocks. However, supply shocks can be dampened via a debt deflation channel, which is strengthened amid DE. Importantly, the model results in a worsening of the inflation-output volatility trade-off confronting policymakers. In contrast to most of the literature—which argues against targeting the level of asset prices—our financial accelerator model with DE suggests that targeting house price growth may result in welfare gains.
International Monetary Fund. Strategy, Policy, & Review Department
This note aims to provide guidance on the key principles and considerations underlying the design of Fund-supported programs. The note expands on the previous operational guidance notes on conditionality published over 2003-2014, incorporating lessons from the 2018-19 Review of Conditionality, and other recent key policy developments including the recommendation of the Management’s Implementation Plan in response to Independent Evaluation Office (IEO)’s report on growth and adjustment in IMF-supported programs. The note in particular highlights operational advice to (i) improve the realism of macroeconomic forecast in programs and fostering a more systematic analysis of contingency plans and risks; (ii) improve the focus, depth, implementation, and tailoring of structural conditions (SCs), with due consideration of growth effects; and (iii) help strengthen the ownership of country authorities. Designed as a comprehensive reference and primer on program design and conditionality in an accessible and transparent manner, the note refers in summary to a broad range of economic and policy considerations over the lifecycle of Fund-supported programs. As with all guidance notes, the relevant IMF Executive Board Decisions remain the primary legal authority on matters covered in this note.
Mantas Dirma
and
Jaunius Karmelavičius
Despite having introduced borrower-based measures (BBM), Lithuania's housing and mortgage markets were booming during the low-interest-rate period, casting doubt on the macroprudential toolkit's ability to contain excessive mortgage growth. This paper assesses the adequacy of BBMs’ parametrization in Lithuania. We do so by building a novel lifetime expected credit loss framework that is founded on actual loan-level default and household income data. We show that the BBM package effectively contains mortgage credit risk and that housing loans are more resilient to stress than in the preregulatory era. Our BBM limit calibration exercise reveals that (1) in the low-rate environment, income-based measures could have been tighter; and (2) borrowers taking out secondary mortgages rightly are and should be required to pledge a higher down payment.
Luciano Greco
and
Mariano Moszoro
The economic debate underlines the reasons why discount rates of infrastructure projects should be similar, regardless the public or private source of financing, during the forecast period when flows are risky but predictable. In contrast, we show that the incompleteness of contracts between governments and private firms beyond the forecast period (i.e., when flows of net social benefits are state-contingent) entails expected terminal values that are systematically larger under government rather than private financing. This effect provides a new rationale for applying a lower discount rate in the assessment of projects under public financing as compared to private financing.
Nina Biljanovska
and
Sophia Chen
We explore the differential effects of lender-based macroprudential policies on new mortgage borrowing for households of different income using a comprehensive dataset that links macroprudential policy actions with household survey data for European Union countries. The main results suggest that higher-income households on average experience a larger reduction in mortgage loan size than lower-income households when regulation targeting total lenders’ assets tightens. In contrast, lower-income households on average experience a larger reduction in mortgage loan size than higher-income households when regulation targeting lenders’ capital requirements tightens. We also provide evidence of the different channels through which the differential effects operate.
Giorgio Maarraoui
,
Walid Marrouch
,
Faten Saliba
, and
Ada Wossink
This paper uses life satisfaction data to help the design of climate mitigation policies in the United Kingdom. We assess the effects of the exposure to ambient pollutants on long-term life satisfaction and short-term mental health in the UK. We estimate augmented Cobb-Douglas utility functions using pooled and random effects ordinal logit models. Results show that increases in NO2, PM10 and PM2.5 significantly decrease the odds of longterm happiness and short-term mental health in the UK. The willingness to pay for clean air is also significant and increases with level of education. These measurements derived can be used as benchmarks for pollution abatement subsidies or pollution taxes and can help in projecting a more comprehensive assessment of costs and benefits.
Mr. Adrian Alter
,
Elizabeth M. Mahoney
, and
Cristian Badarinza
During the past two decades, the commercial real estate (CRE) market has been impacted by major disruptions, including the global financial crisis and the Covid-19 pandemic. Using granular data from the U.S., we document how these crises have unfolded and elaborate on the role of heterogeneity and underlying shocks. Both a set of reduced-form approaches and a structural framework suggest a prominent role for demand-side local factors in the short run, along with significant shifts in preferences during crisis episodes. However, valuations become more closely linked to macro-financial factors over the long term. A one-standard deviation tightening in financial conditions is associated with a drop of about 3% in CRE prices in the following quarter, with a stronger impact on the retail sector and milder effects in states where household indebtedness is lower.
International Monetary Fund. Monetary and Capital Markets Department
While domestic money laundering (ML) threats are well understood by the authorities, Ireland faces significant and increasing threats from foreign criminal proceeds. As a growing international financial center,1 Ireland is exposed to inherent transnational money laundering and terrorist financing (ML/TF) related risks. The ML risks facing Ireland include illicit proceeds from foreign crimes (e.g., corruption, tax crimes). Retail and international banks, trust and company service providers (TCSPs),2 lawyers, and accountants are medium to high-risk for ML, while virtual asset service providers (VASPs) pose emerging risks. Brexit, the recent move of international banks to Dublin, and the COVID-19 pandemic increased the money laundering risks faced by Ireland. The Central Bank of Ireland (Central Bank) nevertheless has demonstrated a deep and robust experience in assessing and understanding their domestic ML/TF risks; however, an increased focus on risks related to transnational illicit financial flows is required. A thematic risk assessment undertaken by the Anti-Money Laundering Steering Committee (AMLSC) of international ML/TF risks would enhance the authorities’ risk understanding and is key to effective response to the rapid financial sector growth. Introducing data analytics tools, including machine learning to leverage potentially available big data on cross-border payments, would allow for efficient detection of emerging risks. The results of this assessment should be published to improve the understanding of transnational ML/TF risks and feed into the anti-money laundering and combating the financing of terrorism (AML/CFT) policy priorities going forward.
Mr. Carlos Sanchez-Munoz
,
Artak Harutyunyan
, and
Ms. Padma S Hurree Gobin
The Note is meant to assist compilers in the practical application of the agreed defini¬tion to identify resident Special Purpose Entities (SPE) in their jurisdictions and in collecting and reporting SPE-related cross-border data. To this end, these guidelines provide practical advice on the (1) implementa¬tion of the definition of SPEs, (2) possible data sources and processes for collecting and compiling SPE-related statistics, and (3) reporting within the agreed Data Template.