Application of logit model and self-organizing maps (SOMs) for the prediction of financial crisis periods in US economy
AbstractPurpose – The purpose of this paper is to examine two different approaches in the prediction of the economic recession periods in the US economy. Design/methodology/approach – A logit regression was applied and the prediction performance in two out-of-sample periods, 2007-2009 and 2010 was examined. On the other hand, feed-forwards neural networks with Levenberg-Marquardt error backpropagation algorithm were applied and then neural networks self-organizing map (SOM) on the training outputs was estimated. Findings – The paper presents the cluster results from SOM training in order to find the patterns of economic recessions and expansions. It is concluded that logit model forecasts the current financial crisis period at 75 percent accuracy, but logit model is useful as it provides a warning signal three quarters before the current financial crisis started officially. Also, it is estimated that the financial crisis, even if it reached its peak in 2009, the economic recession will be continued in 2010 too. Furthermore, the patterns generated by SOM neural networks show various possible versions with one common characteristic, that financial crisis is not over in 2009 and the economic recession will be continued in the USA even up to 2011-2012, if government does not apply direct drastic measures. Originality/value – Both logistic regression (logit) and SOMs procedures are useful. The first one is useful to examine the significance and the magnitude of each variable, while the second one is useful for clustering and identifying patterns in economic recessions and expansions.
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Bibliographic InfoArticle provided by Emerald Group Publishing in its journal Journal of Financial Economic Policy.
Volume (Year): 2 (2010)
Issue (Month): 2 (June)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Fioramanti, Marco, 2008.
"Predicting sovereign debt crises using artificial neural networks: A comparative approach,"
Journal of Financial Stability,
Elsevier, vol. 4(2), pages 149-164, June.
- Marco Fioramanti, 2006. "Predicting Sovereign Debt Crises Using Artificial Neural Networks: A Comparative Approach," ISAE Working Papers 72, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- Reinhart, Carmen & Kaminsky, Graciela & Lizondo, Saul, 1998.
"Leading Indicators of Currency Crises,"
6981, University Library of Munich, Germany.
- Krugman, Paul, 1979. "A Model of Balance-of-Payments Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(3), pages 311-25, August.
- Frankel, Jeffrey A. & Rose, Andrew K., 1996.
"Currency crashes in emerging markets: An empirical treatment,"
Journal of International Economics,
Elsevier, vol. 41(3-4), pages 351-366, November.
- Jeffrey A. Frankel & Andrew K. Rose, 1996. "Currency crashes in emerging markets: an empirical treatment," International Finance Discussion Papers 534, Board of Governors of the Federal Reserve System (U.S.).
- Robert J. Gordon, 1986. "The American Business Cycle: Continuity and Change," NBER Books, National Bureau of Economic Research, Inc, number gord86-1, July.
- Robert J. Gordon, 1986. "Front matter, The American Business Cycle. Continuity and Change," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages -15 National Bureau of Economic Research, Inc.
- Carmen M. Reinhart & Graciela L. Kaminsky, 1999.
"The Twin Crises: The Causes of Banking and Balance-of-Payments Problems,"
American Economic Review,
American Economic Association, vol. 89(3), pages 473-500, June.
- Graciela L. Kaminsky & Carmen M. Reinhart, 1996. "The twin crises: the causes of banking and balance-of-payments problems," International Finance Discussion Papers 544, Board of Governors of the Federal Reserve System (U.S.).
- Reinhart, Carmen & Kaminsky, Graciela, 1999. "The twin crises: The causes of banking and balance of payments problems," MPRA Paper 14081, University Library of Munich, Germany.
- Jiranyakul, Komain, 2006. "The Impact of International Oil Prices on Industrial Production: The Case of Thailand," MPRA Paper 47035, University Library of Munich, Germany.
- MacKinnon, James G, 1996.
"Numerical Distribution Functions for Unit Root and Cointegration Tests,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 11(6), pages 601-18, Nov.-Dec..
- James G. MacKinnon, 1995. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Working Papers 918, Queen's University, Department of Economics.
- Eichengreen, Barry & Rose, Andrew K, 1998.
"Staying Afloat When the Wind Shifts: External Factors and Emerging-Market Banking Crises,"
CEPR Discussion Papers
1828, C.E.P.R. Discussion Papers.
- Barry Eichengreen & Andrew K. Rose, 1998. "Staying Afloat When the Wind Shifts: External Factors and Emerging-Market Banking Crises," NBER Working Papers 6370, National Bureau of Economic Research, Inc.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- Geoffrey H. Moore, 1983. "Some Secular Changes in Business Cycles," NBER Chapters, in: Business Cycles, Inflation, and Forecasting, 2nd ed., pages 161-168 National Bureau of Economic Research, Inc.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
- Reuven Glick & Ramon Moreno, 1999.
"Money and credit, competitiveness, and currency crises in Asia and Latin America,"
Pacific Basin Working Paper Series
99-01, Federal Reserve Bank of San Francisco.
- Glick, R. & Moreno, R., 1999. "Money and Credit, Competitiveness, and Currency Crises in Asia and Latin America," Papers 99-01, Economisch Institut voor het Midden en Kleinbedrijf-.
- Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
- Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, July.
- Cha, Myung Soo, 2003. "Did Takahashi Korekiyo Rescue Japan from the Great Depression?," The Journal of Economic History, Cambridge University Press, vol. 63(01), pages 127-144, March.
- Geoffrey H. Moore, 1983. "Security Markets and Business Cycles," NBER Chapters, in: Business Cycles, Inflation, and Forecasting, 2nd ed., pages 139-160 National Bureau of Economic Research, Inc.
- Pamela K. Coats & L. Franklin Fant, 1993. "Recognizing Financial Distress Patterns Using a Neural Network Tool," Financial Management, Financial Management Association, vol. 22(3), Fall.
- Wen-Ying Cheng & Ender Su & Sheng-Jung Li, 2006. "A Financial Distress Pre-Warning Study by Fuzzy Regression Model of TSE-Listed Companies," Asian Academy of Management Journal of Accounting and Finance, Penerbit Universiti Sains Malaysia, vol. 2(2), pages 75-93.
- Asli DemirgÃ¼Ã§-Kunt & Enrica Detragiache, 1998. "The Determinants of Banking Crises in Developing and Developed Countries," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 81-109, March.
- Eleftherios Giovanis, 2012. "Study of Discrete Choice Models and Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA," Economic Analysis and Policy (EAP), Queensland University of Technology (QUT), School of Economics and Finance, vol. 42(1), pages 79-96, March.
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