Comparing the Performance of Logit and Probit Early Warning Systems for Currency Crises in Emerging Market Economies PDF Download
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Author: Mr.Fabio Comelli
Publisher: International Monetary Fund
ISBN: 1484355288
Category : Business & Economics
Languages : en
Pages : 26
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Book Description
We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency crises in emerging markets (EMs). We look at episodes of currency crises that took place in 29 EMs between January 1995 and December 2012. Stronger real GDP growth rates and higher net foreign assets significantly reduce the probability of experiencing a currency crisis, while high levels of credit to the private sector increase it. We find that the logit and probit EWS out-of-sample performances are broadly similar, and that the EWS performance can be very sensitive both to the size of the estimation sample, and to the crisis definition employed. For macroeconomic policy purposes, we conclude that a currency crisis definition identifying more rather than less crisis episodes should be used, even if this may lead to the risk of issuing false alarms.
Author: Mr.Fabio Comelli
Publisher: International Monetary Fund
ISBN: 1484355288
Category : Business & Economics
Languages : en
Pages : 26
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Book Description
We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency crises in emerging markets (EMs). We look at episodes of currency crises that took place in 29 EMs between January 1995 and December 2012. Stronger real GDP growth rates and higher net foreign assets significantly reduce the probability of experiencing a currency crisis, while high levels of credit to the private sector increase it. We find that the logit and probit EWS out-of-sample performances are broadly similar, and that the EWS performance can be very sensitive both to the size of the estimation sample, and to the crisis definition employed. For macroeconomic policy purposes, we conclude that a currency crisis definition identifying more rather than less crisis episodes should be used, even if this may lead to the risk of issuing false alarms.
Author: Mr.Fabio Comelli
Publisher: International Monetary Fund
ISBN: 1475589999
Category : Business & Economics
Languages : en
Pages : 26
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Book Description
We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency crises in emerging markets (EMs). We look at episodes of currency crises that took place in 29 EMs between January 1995 and December 2012. Stronger real GDP growth rates and higher net foreign assets significantly reduce the probability of experiencing a currency crisis, while high levels of credit to the private sector increase it. We find that the logit and probit EWS out-of-sample performances are broadly similar, and that the EWS performance can be very sensitive both to the size of the estimation sample, and to the crisis definition employed. For macroeconomic policy purposes, we conclude that a currency crisis definition identifying more rather than less crisis episodes should be used, even if this may lead to the risk of issuing false alarms.
Author: Stefan Jansen
Publisher:
ISBN:
Category :
Languages : en
Pages : 95
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Book Description
This paper aims at identifying key empirical regularities characterizing the onset of a currency crisis that might be suitable for early warning purposes and proceeds by providing analysis and empirical tests of economic and financial variables both in-sample and out-of-sample in order to assess their performance as leading indicators of a speculative attack. Two distinct methodologies are compared and implications for the theory of currency crises and economic policies to their prevention will be investigated in the process.
Author: Mr.Fabio Comelli
Publisher: International Monetary Fund
ISBN: 1484359356
Category : Business & Economics
Languages : en
Pages : 29
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Book Description
The purpose of this paper is to compare in-sample and out-of-sample performances of three parametric and non-parametric early warning systems (EWS) for currency crises in emerging market economies (EMs). The parametric EWS achieves superior out-of-sample results compared to the non-parametric EWS, as the total misclassification error of the former is lower than that of the latter. In addition, we find that the performances of the parametric and non-parametric EWS do not improve if the policymaker becomes more prudent. From a policy perspective, the policymaker faces the standard trade-off when using EWS. Greater prudence allows the policymaker to correctly call more crisis episodes, but this comes at the cost of issuing more false alarms. The benefit of correctly calling more currency crises needs to be traded off against the cost of issuing more false alarms and of implementing corrective macroeconomic policies prematurely.
Author: Mr.Abdul Abiad
Publisher: International Monetary Fund
ISBN: 1451845138
Category : Business & Economics
Languages : en
Pages : 61
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Book Description
Previous early-warning systems (EWSs) for currency crises have relied on models that require a priori dating of crises. This paper proposes an alternative EWS, based on a Markov-switching model, which identifies and characterizes crisis periods endogenously; this also allows the model to utilize information contained in exchange rate dynamics. The model is estimated using data for the period 1972-99 for the Asian crisis countries, taking a country-by-country approach. The model outperforms standard EWSs, both in signaling crises and reducing false alarms. Two lessons emerge. First, accounting for the dynamics of exchange rates is important. Second, different indicators matter for different countries, suggesting that the assumption of parameter constancy underlying panel estimates of EWSs may contribute to poor performance.
Author: Jens Michael Rabe
Publisher: diplom.de
ISBN: 3832422552
Category : Business & Economics
Languages : en
Pages : 84
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Book Description
Inhaltsangabe:Abstract: The banking and currency crises of the last two decades inflicted substantial financial, economic, and social damage on the countries in which they originated. In this work, the efficiency of early warning indicators for these disastrous economic events is evaluated. An analysis of the traditional and recent literature on currency crises is performed in order to extract potential early warning indicators that are suggested by theory. Alongside others, these candidate indicators are tested in alternative empirical studies that are reviewed in this work. The results are mixed, but somewhat encouraging for further research in this field. Furthermore, the analysis is extended to a critique of systems of early warning indicators currently used by international institutions. Inhaltsverzeichnis:Table of Contents: 1.Introduction1 2.The Currency Crisis Literature as a Reference Point for the Identification of Early Warning Indicators4 2.1The Traditional Theory5 2.2Second Generation Models11 2.3A Cross-generation Framework Proposition19 2.4Early Warning Indicators as Suggested by Theory22 3.The Empirical Assessment of Early Warning Indicators24 3.1Univariate Indicators for Financial Crises24 3.1.1Cross-Country Regressions26 3.1.2Multivariate Probit Models35 3.1.3The Signals Approach40 3.2Composite Leading Indicators for Financial Crises48 4.A Critique of Early Warning Indicators Used in Practice53 5.Conclusion64 Appendix68 Bibliography69
Author: Klaus-Peter Hellwig
Publisher: International Monetary Fund
ISBN: 1513573586
Category : Business & Economics
Languages : en
Pages : 66
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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: Mr.Suman S Basu
Publisher: International Monetary Fund
ISBN: 1484333640
Category : Business & Economics
Languages : en
Pages : 42
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Book Description
This paper summarizes a suite of early warning models to assess the probabilities of growth, fiscal, and financial crises in advanced economies and emerging markets. We estimate separate signal-extraction models for each type of crisis and sample of countries, and we use our results to generate “histories of vulnerabilities” for countries, regions, and the world. For the global financial crisis, our models report that vulnerabilities in advanced economies were rooted in the bursting of leveraged bubbles, while vulnerabilities in emerging markets stemmed from lengthy booms in credit and asset prices combined with growing weaknesses in the corporate and external sectors.
Author: Matthieu Bussière
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Andrew Berg
Publisher:
ISBN:
Category : Autocorrelation (Statistics)
Languages : en
Pages : 26
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Book Description
