Arduini, Tiziano and De Arcangelis, Giuseppe and Del Bello, Carlo Leone (2011): Currency Crises During the Great Recession: Is This Time Different?
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During the 2007-2009 financial crisis the foreign exchange market was characterized by large volatility and wide currency swings. In this paper we evaluate whether during the period of the Great Recession there has been a structural break in the relationship between fundamentals and exchange rates within an early-warning framework. This is done by extending the original data set by Kaminsky and Reinhart (1999) and including not only the most recent period, but also 17 new countries. Our analysis considers two variations of the original early-warning system. First, we propose two new methods to obtain the probability distribution of the early-warning indicator (conditional on the occurrence of a crisis) – one fully parametric and one based on a novel distribution-free semi-parametric approach. Second, we compare the original early-warning indicator with a core indicator that includes only “pseudo-financial variables” (domestic credit/GDP, the real exchange rate, international reserves and the real interest-rate differential) and we evaluate their performance not only for currency crises during the Great Recession, but also for the Asian Crisis. All tests make us conclude that “this time is different”, i.e. early-warning systems based on traditional macroeconomic variables have not only failed to forecast currency crises during the Great Recession, but have also significantly worsened with respect to the period of the Asian crisis.
|Item Type:||MPRA Paper|
|Original Title:||Currency Crises During the Great Recession: Is This Time Different?|
|Keywords:||Early Warning Systems; Exchange Rates; Semi-parametric Meth- ods|
|Subjects:||F - International Economics > F3 - International Finance > F30 - General
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General
F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F47 - Forecasting and Simulation: Models and Applications
F - International Economics > F3 - International Finance > F31 - Foreign Exchange
|Depositing User:||Carlo Leone Del Bello|
|Date Deposited:||09. Feb 2012 09:06|
|Last Modified:||16. Feb 2013 08:52|
Abiad, A. (2003), “Early Warning Systems: a Survey and a Regime-Switching Approach”, IMF Working Papers, WP/03/32.
Anzuini, A. and G. Gandolfo (2003), “Can Currency Crises Be Forecast?”, in Gandolfo, G. and F. Marzano (eds.) International Economic Flows, Currency Crises, Investment and Economic Development: Essays in Memory of Vittorio Marrama, Roma, EUROMA (Publications of the Faculty of Economics of the University of Rome La Sapienza), 2003, pp. 61-82.
Berg, A. and C. Patillo (1999), “Predicting Currency Crises: The Indicators Approach and an Alternative”, Journal of International Money and Finance, vol. 18, pp. 561-86.
Berg, A., Borensztein E. and C. Patillo (2005), “Assessing Early Warning Systems: How Have They Worked in Practice?”, IMF Staff Papers, vol. 52(3), pages 5.
Blevins, J. R. and S. Khan (2010), “Distribution-Free Estimation of Heteroskedastic Binary Response Models in Stata”, mimeo.
Chen, X. (2007). “Large Sample Sieve Estimation of Semi-Nonparametric Models”. In: Heckman, J. J., Leamer, E. E. (Eds.), Handbook of Econometrics, vol. 6B. North-Holland, Amsterdam.
Edison, H. (2000), “Do Indicators of Financial Crises Work? An Evaluation of an Early Warning System”, Board of Governors of the Federal Reserve System, International Fi- nance Discussion Papers, n. 675.
Frankel, J. and G. Saravelos (2010), “Are Leading Indicators of Financial Crises Useful for Assessing Country Vulnerability? Evidence from the 2008-09 Global Crisis”, NBER Working Paper n. 16047.
Goldstein, M. and G. Kaminsky and C. Reinhart (2000), Assessing Financial Vulnera- bility. An Early Warning System for Emerging Markets, Institute for International Economics
Horowitz, J. L. (1992), “A Smoothed Maximum Score Estimator for the Binary Response Model”, Econometrica, 60, 505-531
Kaminsky, G. and S. Lizondo and C. Reinhart (1998), “Leading Indicators of Currency Crises”, IMF Staff Papers, 45, 48-64.
Kaminsky, G. and C. Reinhart (1999), “The Twin Crises: Causes of Banking and Balance of Payments Problems”, American Economic Review, vol. 89, Issue 3, pp. 473-500.
Khan, S. (2010), “Distribution Free Estimation of Heteroskedastic Binary Response Mod- els Using Probit/Logit Criterion Functions”, mimeo, Duke University
Krugman, P. (1979), “A Model of Balance-of-Payments Crises”, Journal of Money, Credit and Banking, vol. 11, Issue 3, pp. 311-25.
Lane, P. and G. M. Milesi-Ferretti (2010), “The Cross Country Incidence of the Global Crisis” mimeo prepared for the IMF/BOP/PSE Conference “Economic Linkages, Spillovers and the Financial Crisis”, Paris, January 28-29 2010.
Mansky, C. F. (1975), “Maximum Score Estimation of the Stochastic Utility Model of Choice”, Journal of Econometrics, 3, 205-228
Mansky, C. F. (1985), “Semiparametric Analysis of Discrete Response: Asymptotic Prop- erties of Maximum Score Estimation”, Journal of Econometrics, 27, 313-334
Obstfeld, M. and K. Rogoff (2009), “Global Imbalances and the Financial Crisis: Product of Common Causes”, mimeo prepared for the Federal Reserve Bank of San Francisco Asia Economic Policy Conference, Santa Barbara, CA, October 18-20, 2009.
Powell, J. (1994). “Estimation of semiparametric models”. In: Engle III, R.F., McFadden, D.F. (Eds.), Handbook of Econometrics, vol. 4. North-Holland, Amsterdam.
Rose, A. and M. Spiegel (2009), “The Causes and Consequences of the 2008 Crisis: Early Warning”, NBER Working Paper n. 15357.
Shi, J. and Y. Gao (2010), “A Study on KLR Financial Crisis Early-Warning Model”, Frontiers of Economics in China, vol. 5(2), pp. 254-75.