Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession
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- Laurent Ferrara & Cl�ment Marsilli, 2013. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," Applied Economics Letters, Taylor & Francis Journals, vol. 20(3), pages 233-237, February.
- Laurent Ferrara & Clément Marsilli, 2013. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," Post-Print hal-01385844, HAL.
- Laurent Ferrara & Clément Marsilli, 2012. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," EconomiX Working Papers 2012-19, University of Paris Nanterre, EconomiX.
References listed on IDEAS
- Lutz Kilian, 2008.
"The Economic Effects of Energy Price Shocks,"
Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
- Kilian, Lutz, 2007. "The Economic Effects of Energy Price Shocks," CEPR Discussion Papers 6559, C.E.P.R. Discussion Papers.
- 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.
- Hamilton, James D., 2003.
"What is an oil shock?,"
Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
- James D. Hamilton, 2000. "What is an Oil Shock?," NBER Working Papers 7755, National Bureau of Economic Research, Inc.
- 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).
- 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.
- 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.
- 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.
- 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 133, European Central Bank.
- 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.
- 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.
- Schumacher, Christian & Marcellino, Massimiliano, 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.
- 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, 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.
- James H. Stock & Mark W.Watson, 2003.
"Forecasting Output and Inflation: The Role of Asset Prices,"
Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
- James H. Stock & Mark W. Watson, 2001. "Forecasting output and inflation: the role of asset prices," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- James H. Stock & Mark W. Watson, 2001. "Forecasting Output and Inflation: The Role of Asset Prices," NBER Working Papers 8180, National Bureau of Economic Research, Inc.
- Laurent Ferrara, 2007. "Point and interval nowcasts of the Euro area IPI," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 115-120.
- Clements, Michael P & Galvão, 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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- Özgür Ömer Ersin & Melike Bildirici, 2023. "Financial Volatility Modeling with the GARCH-MIDAS-LSTM Approach: The Effects of Economic Expectations, Geopolitical Risks and Industrial Production during COVID-19," Mathematics, MDPI, vol. 11(8), pages 1-26, April.
- Mittal, Amit & Garg, Ajay Kumar, 2018. "Bank stocks inform higher growth – A System GMM analysis of ten emerging markets in Asia," MPRA Paper 98253, University Library of Munich, Germany.
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- Gong, Yuting & Chen, Qiang & Liang, Jufang, 2018. "A mixed data sampling copula model for the return-liquidity dependence in stock index futures markets," Economic Modelling, Elsevier, vol. 68(C), pages 586-598.
- C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
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More about this item
Keywords
Great Recession; Forecasting; Financial variables; MIDAS approach;All these keywords.
JEL classification:
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
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