Predicting U.S. Recessions with Dynamic Binary Response Models
AbstractWe develop dynamic binary probit models and apply them for predicting U.S. recessions using the interest rate spread as the driving predictor. The new models use lags of the binary response (a recession dummy) to forecast its future values and allow for the potential forecast power of lags of the underlying conditional probability. We show how multiperiod-ahead forecasts are computed iteratively using the same one-period-ahead model. Iterated forecasts that apply specific lags supported by statistical model selection procedures turn out to be more accurate than previously used direct forecasts based on horizon-specific model specifications. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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Bibliographic InfoArticle provided by MIT Press in its journal The Review of Economics and Statistics.
Volume (Year): 90 (2008)
Issue (Month): 4 (November)
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- Nyberg, Henri, 2011. "Forecasting the direction of the US stock market with dynamic binary probit models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 561-578, April.
- Herrala, Risto & Kauko, Karlo, 2007. "Household loan loss risk in Finland – estimations and simulations with micro data," Research Discussion Papers 5/2007, Bank of Finland.
- Candelon Bertrand & Ahmed Jameel & Straetmans Stefan, 2012. "Predicting and Capitalizing on Stock Market Bears in the U.S," Research Memoranda 019, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
- Hamilton, James D., 2011.
"Calling recessions in real time,"
International Journal of Forecasting,
Elsevier, vol. 27(4), pages 1006-1026, October.
- Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2010.
"The yield curve and the macro-economy across time and frequencies,"
CEF.UP Working Papers
1004, Universidade do Porto, Faculdade de Economia do Porto.
- Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2012. "The yield curve and the macro-economy across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1950-1970.
- Luís Francisco Aguiar & Manuel M. F. Martins & Maria Joana Soares, 2010. "The yield curve and the macro-economy across time and frequencies," NIPE Working Papers 21/2010, NIPE - Universidade do Minho.
- Dumitrescu, Elena-Ivona, 2012. "Econometric methods for financial crises," Open Access publications from Maastricht University urn:nbn:nl:ui:27-29274, Maastricht University.
- Candelon Bertrand & Dumitrescu Elena-Ivona & Hurlin Christophe, 2010. "Currency Crises Early Warning Systems: why they should be Dynamic," Research Memoranda 047, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
- Miguel Ángel Morales Mosquera & Wilmar Cabrera & Laura Capera & Dairo Estrada, . "Un Mapa de Riesgo de Crédito para el Sistema Financiero Colombiano," Temas de Estabilidad Financiera 068, Banco de la Republica de Colombia.
- Adrian Pagan & Don Harding, 2011.
"Econometric Analysis and Prediction of Recurrent Events,"
CREATES Research Papers
2011-33, School of Economics and Management, University of Aarhus.
- Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," NCER Working Paper Series 75, National Centre for Econometric Research.
- Nyberg, Henri, 2010. "QR-GARCH-M Model for Risk-Return Tradeoff in U.S. Stock Returns and Business Cycles," MPRA Paper 23724, University Library of Munich, Germany.
- Fornari, Fabio & Lemke, Wolfgang, 2010. "Predicting recession probabilities with financial variables over multiple horizons," Working Paper Series 1255, European Central Bank.
- Márcio Laurini & João Frois Caldeira, 2012. "Some Comments on a Macro-Finance Model with Stochastic Volatility," IBMEC RJ Economics Discussion Papers 2012-04, Economics Research Group, IBMEC Business School - Rio de Janeiro.
- Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
- Jeremy J. Nalewaik, 2011. "Forecasting recessions using stall speeds," Finance and Economics Discussion Series 2011-24, Board of Governors of the Federal Reserve System (U.S.).
- Ang, James & Smedema, Adam, 2011. "Financial flexibility: Do firms prepare for recession?," Journal of Corporate Finance, Elsevier, vol. 17(3), pages 774-787, June.
- Ng, Eric C.Y., 2012. "Forecasting US recessions with various risk factors and dynamic probit models," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 112-125.
- Eichler Michael & Grothe Oliver & Tuerk Dennis & Manner Hans, 2012. "Modeling spike occurrences in electricity spot prices for forecasting," Research Memoranda 029, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
- Nalewaik, Jeremy J., 2011. "Incorporating vintage differences and forecasts into Markov switching models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 281-307, April.
- Makram El-Shagi & Gregor von Schweinitz, 2012. "Qual VAR Revisited: Good Forecast, Bad Story," IWH Discussion Papers 12, Halle Institute for Economic Research.
- Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
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