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GDP Trend Deviations and the Yield Spread: the Case of Five E.U. Countries

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  • Periklis Gogas
  • Ioannis Pragidis

Abstract

Several studies have established the predictive power of the yield curve in terms of real economic activity. In this paper we use data for a variety of E.U. countries: both EMU (Germany, France, Italy) and non-EMU members (Sweden and the U.K.). The data used range from 1991:Q1 to 2009:Q1. For each country, we extract the long run trend and the cyclical component of real economic activity, while the corresponding interbank interest rates of long and short term maturities are used for the calculation of the country specific yield spreads. We also augment the models tested with non monetary policy variables: the countries' unemployment rates and stock indices. The methodology employed in the effort to forecast real output, is a probit model of the inverse cumulative distribution function of the standard distribution, using several formal forecasting and goodness of fit evaluation tests. The results show that the yield curve augmented with the non-monetary variables has significant forecasting power in terms of real economic activity but the results differ qualitatively between the individual economies examined raising non-trivial policy implications.

Suggested Citation

  • Periklis Gogas & Ioannis Pragidis, 2010. "GDP Trend Deviations and the Yield Spread: the Case of Five E.U. Countries," Papers 1005.1326, arXiv.org.
  • Handle: RePEc:arx:papers:1005.1326
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    10. Dionisios Chionis & Periklis Gogas & Ioannis Pragidis, 2010. "Predicting European Union Recessions in the Euro Era: The Yield Curve as a Forecasting Tool of Economic Activity," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(1), pages 1-10, February.
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    15. Mateus A. Feitosa & Benjamin M. Tabak, 2007. "Predictability Of Economic Activity Using Yield Spreads: The Case Of Brazil," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 029, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
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    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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