Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession
The global economic recession, referred to as the Great Recession, endured by the main industrialized countries during the period 2008-09, in the wake of the financial and banking crisis, has pointed out the current importance of the financial sector in macroeconomics. In this paper, we evaluate the predictive power of some major financial variables to anticipate GDP growth in euro area countries during this specific period of time. In this respect, we implement a MIDAS-based modeling approach, put forward by Ghysels et al. (2007), that enables to forecast quarterly GDP growth rates using exogenous variables sampled at higher frequencies. Empirical results show that, overall, stock prices help to improve the accuracy of GDP forecasts by comparison with a standard opinion survey variable, while oil prices and term spread appear to be less informative.
|Date of creation:||2012|
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- Annabelle Mourougane & Moreno Roma, 2003.
"Can confidence indicators be useful to predict short term real GDP growth?,"
Applied Economics Letters,
Taylor & Francis Journals, vol. 10(8), pages 519-522.
- Mourougane, Annabelle & Roma, Moreno, 2002. "Can confidence indicators be useful to predict short term real GDP growth?," Working Paper Series 0133, European Central Bank.
- Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
- Duarte, Agustin & Venetis, Ioannis A. & Paya, Ivan, 2005.
"Predicting real growth and the probability of recession in the Euro area using the yield spread,"
International Journal of Forecasting,
Elsevier, vol. 21(2), pages 261-277.
- Ivan Paya & Agustín Duarte & Ioannis A. Venetis, 2004. "Predicting Real Growth And The Probability Of Recession In The Euro Area Using The Yield Spread," Working Papers. Serie AD 2004-31, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Marcellino, Massimiliano & Schumacher, Christian, 2008.
"Factor-MIDAS for now- and forecasting with ragged-edge data: A model comparison for German GDP,"
CEPR Discussion Papers
6708, C.E.P.R. Discussion Papers.
- Marcellino, Massimiliano & Schumacher, Christian, 2007. "Factor-MIDAS for now- and forecasting with ragged-edge data: a model comparison for German GDP," Discussion Paper Series 1: Economic Studies 2007,34, Deutsche Bundesbank, Research Centre.
- Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Economics Working Papers ECO2008/16, European University Institute.
- Roger E.A. Farmer, 2011.
"The Stock Market Crash of 2008 Caused the Great Recession: Theory and Evidence,"
NBER Working Papers
17479, National Bureau of Economic Research, Inc.
- Farmer, Roger E.A., 2012. "The stock market crash of 2008 caused the Great Recession: Theory and evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 693-707.
- Farmer, Roger E A, 2011. "The Stock Market Crash of 2008 Caused the Great Recession: Theory and Evidence," CEPR Discussion Papers 8617, C.E.P.R. Discussion Papers.
- Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2000.
"How stable is the predictive power of the yield curve? evidence from Germany and the United States,"
113, Federal Reserve Bank of New York.
- Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
- Hamilton, James D., 2003.
"What is an oil shock?,"
Journal of Econometrics,
Elsevier, vol. 113(2), pages 363-398, April.
- Glenn D. Rudebusch & John C. Williams, 2007.
"Forecasting recessions: the puzzle of the enduring power of the yield curve,"
Working Paper Series
2007-16, Federal Reserve Bank of San Francisco.
- Rudebusch, Glenn D. & Williams, John C., 2009. "Forecasting Recessions: The Puzzle of the Enduring Power of the Yield Curve," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 492-503.
- Laurent Ferrara, 2007. "Point and interval nowcasts of the Euro area IPI," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 115-120.
- Kilian, Lutz, 2007.
"The Economic Effects of Energy Price Shocks,"
CEPR Discussion Papers
6559, C.E.P.R. Discussion Papers.
- Clements, Michael P & GalvÃ£o, Ana Beatriz, 2008. "Macroeconomic Forecasting With Mixed-Frequency Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 546-554.
- 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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