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Leading Indicators of Euroland Business Cycles

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  • Ulrich Fritsche
  • Felix Marklein

Abstract

The introduction of a common monetary policy in eleven European countries increased the need for leading indicators for that area. A reliable leading indicator should possess the following properties: (1) The movements in the indicator series should resemble those in the business cycle reference series. (2) The relation between the reference series and the indicator should be statistically significant and stable over time. (3) The inclusion of the indicator in out-of-sample forecasting procedures should improve the predictive power. Our analysis deals with tests for these requirements applied to Euroland data. We use frequency domain analysis, Granger-causality tests and out-of sample forecasts. Only a few indicators pass all tests, while the non-monetary indicators perform best. Die Einführung einer gemeinsamen Geldpolitik in elf europäischen Ländern erhöhte die Bedeutung von konjunkturellen Frühindikatoren für dieses Gebiet. Brauchbare Frühindikatoren sollten folgende Eigenschaften besitzen: (1) Die konjunkturellen Bewegungen des Frühindikators sollten denen der Referenzreihe folgen. (2) Die Beziehung zwischen den Reihen sollte stabil und signifikant sein. (3) Die Einbeziehung des Indikators sollte die Out-of-sample-Prognose verbessern. Unsere Untersuchung testet diese Anforderungen für Euroland-Daten. Dazu werden Methoden der Spektralanalyse, verschiedene Granger-Kausalitäts-Tests und Out-of-sample-Prognosen verwendet. Nur wenige Indikatoren bestehen die Tests auf die geforderten Eigenschaften, wobei die nichtmonetären Indikatoren besser abschneiden.

Suggested Citation

  • Ulrich Fritsche & Felix Marklein, 2001. "Leading Indicators of Euroland Business Cycles," Discussion Papers of DIW Berlin 238, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp238
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    References listed on IDEAS

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    1. David Laidler, 1999. "The Quantity of Money and Monetary Policy," Staff Working Papers 99-5, Bank of Canada.
    2. Norbert Funke, 1997. "Predicting recessions: Some evidence for Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(1), pages 90-102, March.
    3. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
    4. Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July.
    5. Ulrich Fritsche & Sabine Stephan, 2000. "Leading Indicators of German Business Cycles: An Assessment of Properties," Macroeconomics 0004005, University Library of Munich, Germany.
    6. Erich Langmantel, 1999. "Das ifo Geschäftsklima als Indikator für die Prognose des Bruttoinlandsprodukts," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 52(16-17), pages 16-21, October.
    7. Davis, E Philip & Fagan, Gabriel, 1997. "Are Financial Spreads Useful Indicators of Future Inflation and Output Growth in EU Countries?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 701-714, Nov.-Dec..
    8. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    9. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    10. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    11. Döpke, Jörg, 1998. "Leading indicators for Euroland's business cycle," Kiel Working Papers 886, Kiel Institute for the World Economy (IfW Kiel).
    12. Langfeldt, Enno, 1994. "Die Zinsstruktur als Frühindikator für Konjunktur und Preisentwicklung in Deutschland," Kiel Working Papers 615, Kiel Institute for the World Economy (IfW Kiel).
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    Cited by:

    1. Radoslaw Kurach, 2012. "Stocks, Commodities And Business Cycle Fluctuations – Seeking The Diversification Benefits," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 7(4), pages 101-116, December.
    2. Władysław Milo & Zuzanna Wośko, 2005. "Are Leading Indicators a Useful Tool for Predicting Business Cycles? The Polish Experience," FindEcon Chapters: Forecasting Financial Markets and Economic Decision-Making, in: Władysław Milo & Piotr Wdowiński (ed.), Acta Universitatis Lodziensis. Folia Oeconomica nr 192/2005 - Issues in Modeling, Forecasting and Decision-Making in Financial Markets, edition 1, volume 127, chapter 1, pages 5-25, University of Lodz.

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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General

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