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The Role of Financial Variables in predicting economic activity

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  • Raphael Espinoza
  • Fabio Fornari
  • Marco J. Lombardi

Abstract

Previous research has shown that the US business cycle leads the European cycle by a few quarters, and can therefore help predicting euro area GDP. We investigate whether financial variables provide additional predictive power. We use a VAR model of the US and the euro area GDPs and extend it to take into account common global shocks and information provided by selected combinations of financial variables. In-sample analysis shows that shocks to financial variables influence real activity with a peak around 4 to 6 quarters after the shock. Out-of-sample Root-Mean- Squared Forecast Error (RMFE) shows that adding financial variables yields smaller errors in fore-casting US economic activity, especially at a five- quarter horizon, but the gain is overall tiny in economic terms. This link is even less prominent in the euro area, where financial indicators do not improve short and medium term GDP forecasts even when their timely availability, relative to a given GDP release, is exploited. The same conclusion is reached with a dataset of quarterly industrial production indices, although financial variables marginally improve fore- casts of monthly industrial production. We argue that the findings that financial variables have no predictive power for future activity in the euro area relate to the unconditional nature of the RMFE metric. When forecasting ability is assessed as if in real time (i.e. conditionally on the information available at the time when forecasts are made), we find that models using financial variables would have been preferred in many episodes, and in particular between 1999 and 2002. Results from the historical decomposition of a VAR model indeed suggest that in that period shocks were predominantly of financial nature. JEL Classification: F30, F42, F47

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Forecasting.

Volume (Year): 31 (2012)
Issue (Month): 1 (01)
Pages: 15-46

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Handle: RePEc:wly:jforec:v:31:y:2012:i:1:p:15-46

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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966

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Cited by:
  1. di Mauro, Filippo & Fornari, Fabio & Mannucci, Dario, 2011. "Stock market firm-level information and real economic activity," Working Paper Series 1366, European Central Bank.
  2. Andrea M. Maechler & Alexander F. Tieman, 2009. "The Real Effects of Financial Sector Risk," IMF Working Papers 09/198, International Monetary Fund.
  3. Olszak, Małgorzata & Pipień, Mateusz, 2013. "Cross Country Linkages as Determinants of Procyclicality of Loan Loss Provisions – Empirical Importance of SURE Specification," MPRA Paper 53784, University Library of Munich, Germany.
  4. Petre Caraiani, 2014. "Do money and financial variables help forecasting output in emerging European Economies?," Empirical Economics, Springer, vol. 46(2), pages 743-763, March.
  5. Mina Dragouni & George Filis & Nikolaos Antonakakis, 2013. "Time-Varying Interdependencies of Tourism and Economic Growth: Evidence from European Countries," FIW Working Paper series 128, FIW.
  6. Buchmann, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
  7. Nathan Bedock & Dalibor Stevanovic, 2012. "An Empirical Study of Credit Shock Transmission in a Small Open Economy," CIRANO Working Papers 2012s-16, CIRANO.
  8. Malgorzata A. Olszak & Mateusz Pipieñ, . "Cross country linkages as determinants of procyclicality of loan loss provisions – empirical importance of SURE specification," Faculty of Management Working Paper Series, University of Warsaw, Faculty of Management.
  9. Nicoletti, Giulio & Passaro, Raffaele, 2012. "Sometimes it helps: the evolving predictive power of spreads on GDP dynamics," Working Paper Series 1447, European Central Bank.

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