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A Brand New CROLEI: Do We Need a New Forecasting Index?


  • Katarina Bacic

    (Institute of Economics, Zagreb)

  • Maruska Vizek

    (Institute of Economics, Zagreb)


The aim of this paper is to determine whether the existing leading indicators system CROLEI (CROatian Leading Economic Indicators) and its derivative, the CROLEI forecasting index, predict overall Croatian economic activity reliably. The need to evaluate the CROLEI system and the index stems from the modification of the barometric method on which the system and the index are founded on in its application in Croatia. The evaluation of the forecasting power involved the construction of six alternative forecasting indices, which not only challenge the original CROLEI index, but also enable comparisons of forecasting power. The construction of the alternative forecasting indices is also based on the barometric method. The authors then proceed to adjust more complex measurements i.e. forecasting power evaluation matrix, in order to obtain credible forecasting power estimates. Forecasting power is also estimated using two regression models that allow for the forecasting of reference series and yield measurements of forecasting power. The results of both approaches indicate not only that the original CROLEI has by far the greatest forecasting power, but also that it is able to predict the turning points in the economic cycle with the highest probability.

Suggested Citation

  • Katarina Bacic & Maruska Vizek, 2006. "A Brand New CROLEI: Do We Need a New Forecasting Index?," Financial Theory and Practice, Institute of Public Finance, vol. 30(4), pages 311-346.
  • Handle: RePEc:ipf:finteo:v:30:y:2006:i:4:p:311-346

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    References listed on IDEAS

    1. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    2. Rousseau, Peter L. & Vuthipadadorn, Dadanee, 2005. "Finance, investment, and growth: Time series evidence from 10 Asian economies," Journal of Macroeconomics, Elsevier, vol. 27(1), pages 87-106, March.
    3. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1, January.
    4. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    5. Christian Dreger & Christian Schumacher, 2005. "Out-of-sample Performance of Leading Indicators for the German Business Cycle: Single vs. Combined Forecasts," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(1), pages 71-87.
    6. Sander, Harald & Kleimeier, Stefanie, 2003. "Contagion and causality: an empirical investigation of four Asian crisis episodes," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 171-186, April.
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    1. repec:zag:zirebs:v:20:y:2017:i:1:p:81-99 is not listed on IDEAS

    More about this item


    CROLEI (CROatian Leading Economic Indicators); forecasting indicator; barometric method; signaling method;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications


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