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|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://economix.fr
More information through EDIRC
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.:
- 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.
- 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.
- 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.
- 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.
- 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.
- Hamilton, James D., 2003.
"What is an oil shock?,"
Journal of Econometrics,
Elsevier, vol. 113(2), pages 363-398, April.
- Kilian, Lutz, 2007.
"The Economic Effects of Energy Price Shocks,"
CEPR Discussion Papers
6559, C.E.P.R. Discussion Papers.
- Laurent Ferrara, 2007. "Point and interval nowcasts of the Euro area IPI," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 115-120.
- Mourougane, Annabelle & Roma, Moreno, 2002.
"Can confidence indicators be useful to predict short term real GDP growth?,"
Working Paper Series
0133, European Central Bank.
- 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.
- 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.
- 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.
- 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," Staff Reports 113, Federal Reserve Bank of New York.
- 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.
- 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.
- 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).
- 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.
When requesting a correction, please mention this item's handle: RePEc:drm:wpaper:2012-19. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Valérie Mignon)
If references are entirely missing, you can add them using this form.