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The Prediction of Business Cycle Phases: Financial Variables and International Linkages

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  • D R Osborn
  • M Sensier

Abstract

This paper discusses recent research at the Centre for Growth and Business Cycle Research on the prediction of the expansion and recession phases of the business cycle for the UK, US, Germany, France and Italy. Financial variables are important predictors in these models, with the stock market playing a key role in the US but not the European countries, including the UK. In contrast, international linkages are important for the European countries. Our models suggest that the US and German economy have now emerged from the recession of 2001, and that all five countries will be in expansion during the third quarter of this year.

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File URL: http://www.socialsciences.manchester.ac.uk/medialibrary/cgbcr/discussionpapers/dpcgbcr15.pdf
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Bibliographic Info

Paper provided by Economics, The Univeristy of Manchester in its series Centre for Growth and Business Cycle Research Discussion Paper Series with number 15.

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Length: 19 pages
Date of creation: 2002
Date of revision:
Handle: RePEc:man:cgbcrp:15

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Postal: Manchester M13 9PL
Phone: (0)161 275 4868
Fax: (0)161 275 4812
Web page: http://www.socialsciences.manchester.ac.uk/subjects/economics/our-research/centre-for-growth-and-business-cycle-research/
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Related research

Keywords: business cycles; financial variables; leading indicators; logistic classification models; regime prediction; business cycle linkages;

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  1. Artis, Michael J & Zhang, Wenda, 1999. "Further Evidence on the International Business Cycle and the ERM: Is There a European Business Cycle?," Oxford Economic Papers, Oxford University Press, vol. 51(1), pages 120-32, January.
  2. Denise R. Osborn & Paul W. Simpson, 2000. "Forecasting UK Industrial Production Over the Business Cycle," Econometric Society World Congress 2000 Contributed Papers 1059, Econometric Society.
  3. Chris R. Birchenhall & Marianne Sensier & Denise R. Osborn, 2000. "Predicting Uk Business Cycle Regimes," Computing in Economics and Finance 2000 134, Society for Computational Economics.
  4. Artis, Michael J & Zhang, Wenda, 1995. "International Business Cycles and the ERM: Is there a European Business Cycle?," CEPR Discussion Papers 1191, C.E.P.R. Discussion Papers.
  5. Maximo Camacho & Gabriel Perez-Quiros, 2000. "This Is What The Leading Indicators Lead," Computing in Economics and Finance 2000 132, Society for Computational Economics.
  6. Artis, Michael J & Kontolemis, Zenon G & Osborn, Denise R, 1997. "Business Cycles for G7 and European Countries," The Journal of Business, University of Chicago Press, vol. 70(2), pages 249-79, April.
  7. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
  8. Simpson, Paul W & Osborn, Denise R & Sensier, Marianne, 2001. "Modelling Business Cycle Movements in the UK Economy," Economica, London School of Economics and Political Science, vol. 68(270), pages 243-67, May.
  9. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
  10. Birchenhall, Chris R, et al, 1999. "Predicting U.S. Business-Cycle Regimes," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 313-23, July.
  11. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
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Cited by:
  1. Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Birkbeck Working Papers in Economics and Finance 0617, Birkbeck, Department of Economics, Mathematics & Statistics.

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