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Europe > Iceland

You are looking at 1 - 10 of 45 items for :

  • Type: Journal Issue x
  • Economic & financial crises & disasters x
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Cover IMF Staff Country Reports
Iceland: Financial Sector Assessment Program-Technical Note on Financial Safety Net Crisis Management
International Monetary Fund. Monetary and Capital Markets Department
This technical note focuses on financial safety net crisis management in Iceland. This paper assesses and makes recommendations regarding the different elements of the financial safety net in Iceland. The scope of the assessment includes the institutional arrangements for recovery, resolution, and crisis management; the oversight of banks’ recovery plans; the legal regime for bank bankruptcy and resolution; resolution planning by the authorities; the funding mechanism to support resolution; the deposit guarantee scheme; and the government authorities’ collective preparedness to deal with financial crises. The current institutional framework for crisis management lacks formal involvement of the Ministry of Finance. The regime for banks that are systemic adheres to the internationally agreed resolution standards. The legal regime for bankruptcy and liquidation of banks that are not systemic is sound. The Deposit Guarantee Fund should be strengthened in line with EU requirements of the Deposit Guarantee Scheme Directive. Finally, the authorities’ collective contingency planning for financial crisis (including testing of plans) should be intensified.
Keywords:
B. bank insolvency; recovery planning; financial crisis preparedness; asset portfolio; market funding; resolution plan; Bank resolution framework; Lender of last resort; Bank resolution; Financial sector stability; Baltics; Europe
Cover IMF Working Papers
Firm Leverage and Boom-Bust Cycles
Can Sever
This paper explores the dynamic relationship between firm debt and real outcomes using data from 24 European economies over the period of 2000-2018. Based on macro data, it shows that a rise in credit to firms is associated with an increase in employment growth in the short-term, but employment growth declines in the medium-term. This pattern remains similar, even when the changes in credit to households are accounted for. Next, using data from a large sample of firms, it shows that firm leverage buildups predict similar boom-bust growth cycles in firm employment: Firms with a larger increase in leverage experience a boost in employment growth in the short-term, but employment growth decreases in the medium-term. Relatedly, the volatility of employment growth increases in the aftermath of firm leverage buildups. Finally, this paper provides suggestive evidence on the role of a financial channel in the relationship between firm leverage buildups and employment growth. The results show that a rise in firm leverage is associated with a persistently higher debt service ratio, pointing the drag on finances. Consistently, boom-bust growth cycles in the aftermath of firm leverage buildups are not limited to employment growth, but are also pronounced for investment. Moreover, the medium-term decline in firm employment growth as predicted by leverage buildups becomes even larger if aggregate financial conditions tighten. The findings are in favor of “lean against the wind” approach in policy making.
Keywords:
Firm leverage; firm debt; household debt; leverage cycles; employment; investment; boom-bust cycles; ORBIS; leverage buildup; employment growth; leverage cycle; growth cycle; cycles in the aftermath; Business cycles; Credit; Consumer credit; Credit booms; Europe; Global
Cover IMF Working Papers
Capital Controls in Times of Crisis – Do They Work?
Apoorv Bhargava
,
Romain Bouis
,
Annamaria Kokenyne
,
Manuel Perez-Archila
,
Umang Rawat
, and
Ms. Ratna Sahay
This paper provides an analysis of the use and effects of capital controls in 27 AEs and EMDEs which experienced at least one financial crisis between 1995 and 2017. Countries often turn to using capital controls in crisis: some ease inflow controls while others tighten controls on outflows. A key finding is that countries with pervasive controls before the start of the crisis are shielded compared to countries with more open capital accounts, which see a significant decline in capital flows during crises. In contrast, the effectiveness of capital controls introduced during crises appears to be weak and difficult to identify. There is also some evidence that the introduction of outflow controls during crises is negatively associated with sovereign debt ratings, but that investors may actually forgive with time.
Keywords:
Capital controls; capital outflows; financial crises; inflow control; outflow controls Introduced; outflow control; controls on outflow; tightening control; Capital account; Capital flows; Caribbean; Global
Cover IMF Working Papers
Effective Fiscal-Monetary Interactions in Severe Recessions
Mr. Jiaqian Chen
,
Mr. Raphael A Espinoza
,
Carlos Goncalves
,
Tryggvi Gudmundsson
,
Martina Hengge
,
Zoltan Jakab
, and
Jesper Lindé
The COVID-19 pandemic and the subsequent need for policy support have called the traditional separation between fiscal and monetary policies into question. Based on simulations of an open economy DSGE model calibrated to emerging and advance economies and case study evidence, the analysis shows when constraints are binding a more integrated approach of looking at policies can lead to a better policy mix and ultimately better macroeconomic outcomes under certain circumstances. Nonetheless, such an approach entails risks, necessitating a clear assessment of each country’s circumstances as well as safeguards to protect the credibility of the existing institutional framework.
Keywords:
monetary policy rate; government spending hike; recession scenario; rate in Botswana; hike in liquidity trap; open economy; Inflation; Inflation targeting; Fiscal stimulus; Africa; Global
Cover IMF Working Papers
Housing Boom and Headline Inflation: Insights from Machine Learning
Yang Liu
,
Di Yang
, and
Mr. Yunhui Zhao
Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with fast-rising house prices. We then apply machine learning methods to forecast inflation in two housing components (rent and owner-occupied housing cost) of the headline inflation and draw tentative inferences about inflationary impact. Our results suggest that for most of these countries, the housing components could have a relatively large and sustained contribution to headline inflation, as inflation is just starting to reflect the higher house prices. Methodologically, for the vast majority of countries we analyze, machine-learning models outperform the VAR model, suggesting some potential value for incorporating such models into inflation forecasting.
Keywords:
Housing Price Inflation; Rent; Owner-Occupied Housing; Machine Learning; Forecast; machine-learning model; machine learning method; housing boom; D. forecasting result; Inflation; Housing prices; Housing; Consumer price indexes; Global; Europe; Australia and New Zealand; North America; Caribbean; VAR model
Cover IMF Working Papers
Tackling Legal Impediments to Women’s Economic Empowerment
Mrs. Katharine M Christopherson Puh
,
Audrey Yiadom
,
Juliet Johnson
,
Francisca Fernando
,
Hanan Yazid
, and
Clara Thiemann
It is well established that a wide range of legal impediments in countries’ domestic laws have prevented women from achieving full economic empowerment, which in turn has negative macroeconomic implications. In many countries, laws often reflect and perpetuate gender norms that limit women’s economic participation, and removal of these impediments through legal reform has been shown to be an effective method to catalyze greater participation of women in the economy—along with the related macroeconomic benefits. Once legal barriers are removed and provisions for more equal treatment under the law are embedded, the law can also be employed as a powerful tool to incentivize women to pursue equal opportunities, change mindsets regarding the role of women, and hold institutions and individuals accountable for achieving results. Accordingly, it is imperative for countries to focus on eliminating existing legal impediments and designing appropriate incentives to increase women’s participation in the economy. This paper goes beyond previous Fund work by categorizing the key sources of laws that impede women’s economic empowerment, as well as ways in which the law can be used as a tool to create behavioral changes and shifts in perceptions of women in the economy. Case studies of six countries (Iceland, Peru, Rwanda, The Philippines, Tunisia, and the United States) that rank high in gender equality in their respective regions demonstrate how legal reforms have been implemented in differing contexts to help achieve women’s economic empowerment. Given the relevance to the Fund’s mandate, the paper also notes the case for a stepped-up role for the IMF in advising on legal reforms that remove barriers to, and incentivize, women’s economic empowerment. Although this paper highlights dominant belief systems and cultural norms that have contributed to limiting the economic empowerment of women, it does not intend to render any judgment on these systems or norms.
Keywords:
gender gap; inequality; inclusive growth; gender norm; gender budgeting law; IMF's contribution; gender wage gap; constitutional law; Women; Gender inequality; Gender diversity; Labor force participation; Global
Cover Staff Discussion Notes
A Post-Pandemic Assessment of the Sustainable Development Goals
Ms. Dora Benedek
,
Mr. Edward R Gemayel
,
Mr. Abdelhak S Senhadji
, and
Alexander F. Tieman
The COVID-19 pandemic hit countries’ development agendas hard. The ensuing recession has pushed millions into extreme poverty and has shrunk government resources available for spending on achieving the United Nations Sustainable Development Goals (SDGs). This Staff Discussion Note assesses the current state of play on funding SDGs in five key development areas: education, health, roads, electricity, and water and sanitation, using a newly developed dynamic macroeconomic framework.
Keywords:
Sustainable Development Goals, Development, Fiscal Policy, Structural Reform; policy option; composite index; case study countries' SDG spending; financing gap; SDG performance; analysis of development strategy; Sustainable Development Goals (SDG); COVID-19; Human capital; Emerging and frontier financial markets; Infrastructure; Sub-Saharan Africa; Global
Cover Staff Discussion Notes
Insolvency Prospects Among Small-and-Medium-Sized Enterprises in Advanced Economies: Assessment and Policy Options
Mr. Federico J Diez
,
Mr. Romain A Duval
,
Jiayue Fan
,
Jose M Garrido
,
Sebnem Kalemli-Ozcan
,
Chiara Maggi
,
Mr. Maria Soledad Martinez Peria
, and
Mr. Nicola Pierri
The COVID-19 pandemic has increased insolvency risks, especially among small and medium enterprises (SMEs), which are vastly overrepresented in hard-hit sectors. Without government intervention, even firms that are viable a priori could end up being liquidated—particularly in sectors characterized by labor-intensive technologies, threatening both macroeconomic and social stability. This staff discussion note assesses the impact of the pandemic on SME insolvency risks and policy options to address them. It quantifies the impact of weaker aggregate demand, changes in sectoral consumption patterns, and lockdowns on firm balance sheets and estimates the impact of a range of policy options, for a large sample of SMEs in (mostly) advanced economies.
Keywords:
Insolvency; Bankruptcy; “Quasi” Equity Injections; Small- and medium-size enterprises; COVID-19; insolvent firm; cash position; equity injection; illiquid firm; firm exit; cash flow; Solvency; Small and medium enterprises; Stocks; Financial statements; Southern Europe; Asia and Pacific
Cover IMF Working Papers
External Financing Risks: How Important is the Composition of the International Investment Position?
Mr. Luis M. Cubeddu
,
Mrs. Swarnali A Hannan
, and
Mr. Pau Rabanal
Building on the vast literature, this paper focuses on the role of the structure of the international investment position (IIP) in affecting countries’ external vulnerabilities. Using a sample of 73 advanced and emerging economies and new database on the IIP’s currency composition, we find that the size and structure of external liabilities and assets, especially with regards to currency denomination, matter in understanding balance-of-payments pressures. Specifically, and beyond the standard macroeconomic factors highlighted in other studies, higher levels of gross external debt increase the likelihood of an external crisis, while higher levels of foreign-currency-denominated external debt increase the likelihood of sudden stops. Foreign reserve assets play a mitigating role, although with diminishing returns, and the combination of flow and stock imbalances amplifies external risks, especially during periods of heightened global risk aversion. The results are especially strong for emerging economies, where the impact of flow and stock imbalances and foreign currency mismatches are larger and more robust across specifications.
Keywords:
international investment positions; current account; foreign reserves; sudden stops with large output loss; external crises.; WP; debt liability; foreign currency; debt liabilities increase; liability position; debt assets
Cover IMF Working Papers
UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification
Mr. Jorge A Chan-Lau
We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes into time-invariant non-overlapping clusters, each of which could be identified with a different regime. The likelihood that a country may experience an econmic crisis could be set equal to its cluster crisis frequency. Moreover, unFEAR could serve as a first step towards developing cluster-specific crisis prediction models tailored to each crisis regime.
Keywords:
clustering; unsupervised feature extraction; autoencoder; deep learning; biased label problem; crisis prediction; WP; crisis frequency; crisis observation; crisis risk; crisis data points; machine learning; Early warning systems; Global