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Author: Paolo Manasse Publisher: International Monetary Fund ISBN: 1451875258 Category : Business & Economics Languages : en Pages : 42
Book Description
We develop an early-warning model of sovereign debt crises. A country is defined to be in a debt crisis if it is classified as being in default by Standard & Poor's, or if it has access to nonconcessional IMF financing in excess of 100 percent of quota. By means of logit and binary recursive tree analysis, we identify macroeconomic variables reflecting solvency and liquidity factors that predict a debt-crisis episode one year in advance. The logit model predicts 74 percent of all crises entries while sending few false alarms, and the recursive tree 89 percent while sending more false alarms.
Author: Paolo Manasse Publisher: International Monetary Fund ISBN: 1451875258 Category : Business & Economics Languages : en Pages : 42
Book Description
We develop an early-warning model of sovereign debt crises. A country is defined to be in a debt crisis if it is classified as being in default by Standard & Poor's, or if it has access to nonconcessional IMF financing in excess of 100 percent of quota. By means of logit and binary recursive tree analysis, we identify macroeconomic variables reflecting solvency and liquidity factors that predict a debt-crisis episode one year in advance. The logit model predicts 74 percent of all crises entries while sending few false alarms, and the recursive tree 89 percent while sending more false alarms.
Author: Ms.Svetlana Cerovic Publisher: International Monetary Fund ISBN: 1484372913 Category : Business & Economics Languages : en Pages : 42
Book Description
This paper identifies leading indicators of fiscal crises based on a large sample of countries at different stages of development over 1970-2015. Our results are robust to different methodologies and sample periods. Previous literature on early warning sistems (EWS) for fiscal crises is scarce and based on small samples of advanced and emerging markets, raising doubts about the robustness of the results. Using a larger sample, our analysis shows that both nonfiscal (external and internal imbalances) and fiscal variables help predict crises among advanced and emerging economies. Our models performed well in out-of-sample forecasting and in predicting the most recent crises, a weakness of EWS in general. We also build EWS for low income countries, which had been overlooked in the literature.
Author: Klaus-Peter Hellwig Publisher: International Monetary Fund ISBN: 1513573586 Category : Business & Economics Languages : en Pages : 66
Book Description
In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random forest, gradient boosted trees) deliver significant improvements in accuracy. Performance of machine learning techniques improves further, particularly for developing countries, when I expand the set of potential predictors and make use of algorithmic selection techniques instead of relying on a small set of variables deemed important by the literature. There is considerable agreement across learning algorithms in the set of selected predictors: Results confirm the importance of external sector stock and flow variables found in the literature but also point to demographics and the quality of governance as important predictors of fiscal crises. Fiscal variables appear to have less predictive value, and public debt matters only to the extent that it is owed to external creditors.
Author: Paolo Manasse Publisher: ISBN: Category : Languages : en Pages : 41
Book Description
We develop an early-warning model of sovereign debt crises. A country is defined to be in a debt crisis if it is classified as being in default by Standard amp; Poor's, or if it has access to nonconcessional IMF financing in excess of 100 percent of quota. By means of logit and binary recursive tree analysis, we identify macroeconomic variables reflecting solvency and liquidity factors that predict a debt-crisis episode one year in advance. The logit model predicts 74 percent of all crises entries while sending few false alarms, and the recursive tree 89 percent while sending more false alarms.
Author: Mrs.Kerstin Gerling Publisher: International Monetary Fund ISBN: 1475592159 Category : Business & Economics Languages : en Pages : 43
Book Description
A key objective of fiscal policy is to maintain the sustainability of public finances and avoid crises. Remarkably, there is very limited analysis on fiscal crises. This paper presents a new database of fiscal crises covering different country groups, including low-income developing countries (LIDCs) that have been mostly ignored in the past. Countries faced on average two crises since 1970, with the highest frequency in LIDCs and lowest in advanced economies. The data sheds some light on policies and economic dynamics around crises. LIDCs, which are usually seen as more vulnerable to shocks, appear to suffer the least in crisis periods. Surprisingly, advanced economies face greater turbulence (growth declines sharply in the first two years of the crisis), with half of them experiencing economic contractions. Fiscal policy is usually procyclical as countries curtail expenditure growth when economic activity weakens. We also find that the decline in economic growth is magnified if accompanied by a financial crisis.
Author: Michael Frenkel Publisher: Springer Science & Business Media ISBN: 3662099500 Category : Business & Economics Languages : en Pages : 263
Book Description
Sovereign risk and financial crises play a key role in current international economic developments, particularly in the case of economic downturns. As the Asian economic crisis in the late 1990s revealed once again, financial crises are the rule rather than the exception in capitalist economies. The event also revealed that international public debt agreements are contingent claims. In a world of increasing economic interdependencies, the issues of financial crises and country defaults are of critical importance. This volume goes to the heart of the academic discussion on sovereign risk and financial crises by centering on quantitative-empirical aspects, evaluating prominent approaches, and by proposing new methods. Part I of the volume identifies key factors and processes that are central in analyzing sovereign risk while Part II focuses on the determinants and effects of financial crises.
Author: Ms.Catherine A. Pattillo Publisher: International Monetary Fund ISBN: 9781557758842 Category : Business & Economics Languages : en Pages : 22
Book Description
The integration of financial markets around the world over the past decade has posed new challenges for policymakers. The speed with which money can be switched in and out of currencies and countries has increased with the efficiency of global communications, considerably shortening the time policymakers have to respond to emerging crises. This pamphlet takes alook at attempts by economists to predict crises by developing early warning systems to signal when trouble may be brewing in currency markets and banking systems.
Author: Marco Fioramanti Publisher: ISBN: Category : Languages : en Pages :
Book Description
Recent episodes of financial crisis have revived interest in developing models able to signal their occurrence in timely manner. The literature has developed both parametric and non-parametric models, the so-called Early Warning Systems, to predict these crises. Using data related to sovereign debt crises which occurred in developing countries from 1980 to 2004, this paper shows that further progress can be achieved by applying a less developed non-parametric method based on artificial neural networks (ANN). Thanks to the high flexibility of neural networks and their ability to approximate non-linear relationship, an ANN-based early warning system can, under certain conditions, outperform more consolidated methods.
Author: Paolo Manasse
Author: Paolo Manasse
Author: Ms.Svetlana Cerovic
Author: Klaus-Peter Hellwig
Author: Betty Carolyn Daniel
Author: Paolo Manasse
Author: Mrs.Kerstin Gerling
Author: Michael Frenkel
Author: Raffaele De Marchi
Author: Ms.Catherine A. Pattillo
Author: Marco Fioramanti