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A Composite Leading Indicator of the Inflation Cycle for the Euro Area

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  • Jane Binner

    (Aston Business School)

  • Rakesh Bissoondeeal

    (Nottingham Trent University)

  • Andrew Mullineux

    (Birmingham Business School)

Abstract

We evaluate the performance of composite leading indicators of turning points of inflation in the Euro area, constructed by combining the techniques of Fourier analysis and Kalman filters with the National Bureau of Economic Research methodology. In addition, the study compares the empirical performance of Euro Simple Sum and Divisia monetary aggregates and provides a tentative answer to the issue of whether or not the UK should join the Euro area. Our findings suggest that, first, the cyclical pattern of the different composite leading indicators very closely reflect that of the inflation cycle for the Euro area; second, the empirical performance of the Euro Divisia is better than its Simple Sum counterpart and third, the UK is better out of the Euro area.

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Bibliographic Info

Paper provided by Money Macro and Finance Research Group in its series Money Macro and Finance (MMF) Research Group Conference 2004 with number 24.

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Date of creation: 17 Sep 2004
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Handle: RePEc:mmf:mmfc04:24

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  1. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 0042, European Central Bank.
  2. Artis, Michael J, 1994. "Predicting Turning Points in the UK Inflation Cycle," CEPR Discussion Papers 880, C.E.P.R. Discussion Papers.
  3. Mike Artis & Hans-Martin Krolzig & Juan Toro, 2004. "The European business cycle," Oxford Economic Papers, Oxford University Press, vol. 56(1), pages 1-44, January.
  4. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
  5. Barnett, William A., 1978. "The user cost of money," Economics Letters, Elsevier, vol. 1(2), pages 145-149.
  6. Jane M. Binner & Stuart I. Wattam, 2003. "A new composite leading indicator of inflation for the UK: a Kalman filter approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 5(2), pages 242-264.
  7. Stracca, Livio, 2001. "Does liquidity matter? Properties of a synthetic divisia monetary aggregate in the euro area," Working Paper Series 0079, European Central Bank.
  8. Elger Thomas & Binner Jane M., 2004. "The UK Household Sector Demand for Risky Money," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-22, March.
  9. Barnett, William A., 1980. "Economic monetary aggregates an application of index number and aggregation theory," Journal of Econometrics, Elsevier, vol. 14(1), pages 11-48, September.
  10. J. M. Binner & A. Fielding & A. W. Mullineux, 1999. "Divisia money in a composite leading indicator of inflation," Applied Economics, Taylor & Francis Journals, vol. 31(8), pages 1021-1031.
  11. Canova, Fabio, 1999. "Does Detrending Matter for the Determination of the Reference Cycle and the Selection of Turning Points?," Economic Journal, Royal Economic Society, vol. 109(452), pages 126-50, January.
  12. Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  13. Harvey,Andrew C., 1990. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521321969.
  14. Serletis, Apostolos, 1988. "The Empirical Relationship between Money, Prices, and Income Revisite d," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 351-58, July.
  15. A. M. Gazely & J. M. Binner, 2000. "The application of neural networks to the Divisia index debate: evidence from three countries," Applied Economics, Taylor & Francis Journals, vol. 32(12), pages 1607-1615.
  16. Rina Bhattacharya & Jane Binner, 1998. "The shocking nature of output fluctuations in some EU countries," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1101-1125.
  17. 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.
  18. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2005. "A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 665-680.
  19. Apostolos Serletis & David Krause, 1996. "Nominal stylized facts of U. S. business cycles," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 49-54.
  20. Drake, L. & Mullineux, A., 1995. "One Divisa Money for Europe?," Discussion Papers 95-04, Department of Economics, University of Birmingham.
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Citations

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Cited by:
  1. Choi-Meng Leong & Chin-Hong Puah & Shazali Abu Mansor & Evan Lau, 2010. "Testing the Effectiveness of Monetary Policy in Malaysia Using Alternative Monetary Aggregation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(3), pages 321-338, August.
  2. Tan, Hao & Mathews, John A., 2010. "Identification and analysis of industry cycles," Journal of Business Research, Elsevier, vol. 63(5), pages 454-462, May.
  3. Jane M. Binner & Peter Tino & Jonathan Tepper & Richard G. Anderson & Barry Jones & Graham Kendall, 2009. "Does money matter in inflation forecasting?," Working Papers 2009-030, Federal Reserve Bank of St. Louis.
  4. Hao Tan & John A. Mathews, 2007. "Cyclical Dynamics in Three Industries," DRUID Working Papers 07-07, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
  5. Seip, Knut Lehre & McNown, Robert, 2007. "The timing and accuracy of leading and lagging business cycle indicators: A new approach," International Journal of Forecasting, Elsevier, vol. 23(2), pages 277-287.

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