IDEAS home Printed from https://ideas.repec.org/a/ipf/finteo/v30y2006i4p311-346.html
   My bibliography  Save this article

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

Author

Listed:
  • Katarina Bacic

    (Institute of Economics, Zagreb)

  • Maruska Vizek

    (Institute of Economics, Zagreb)

Abstract

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
    as

    Download full text from publisher

    File URL: http://www.ijf.hr/eng/FTP/2006/4/bacic-vizek.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Geoffrey H. Moore & Julius Shiskin, 1967. "Indicators of Business Expansions and Contractions," NBER Books, National Bureau of Economic Research, Inc, number moor67-2, October.
    3. Ard den Reijer, 2006. "The Dutch business cycle: which indicators should we monitor?," DNB Working Papers 100, Netherlands Central Bank, Research Department.
    4. 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.
    5. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1, October.
    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.
    7. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    8. 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.
    9. Granger, Clive W.J. & Huang, Bwo-Nung & Yang, Chin W., 1998. "A Bivariate Causality between Stock Prices and Exchange Rates: Evidence from Recent Asia Flu," University of California at San Diego, Economics Working Paper Series qt9bk607p6, Department of Economics, UC San Diego.
    10. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    11. Granger, Clive W. J. & Huangb, Bwo-Nung & Yang, Chin-Wei, 2000. "A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(3), pages 337-354.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel Tomiæ Saša Stjepanoviæ, 2017. "Forecasting Capacity of ARIMA Models; A Study on Croatian Industrial Production and its Sub-sectors," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 20(1), pages 81-99, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2014. "Causality and contagion in EMU sovereign debt markets," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 12-27.
    2. Yanhua Chen & Rosario N Mantegna & Athanasios A Pantelous & Konstantin M Zuev, 2018. "A dynamic analysis of S&P 500, FTSE 100 and EURO STOXX 50 indices under different exchange rates," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-40, March.
    3. Henryk Gurgul & Łukasz Lach & Roland Mestel, 2012. "The relationship between budgetary expenditure and economic growth in Poland," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 161-182, March.
    4. Marques, André M. & Carvalho, André R., 2022. "Testing the neo-fisherian hypothesis in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 407-419.
    5. Chen, Yanhua & Li, Youwei & Pantelous, Athanasios A. & Stanley, H. Eugene, 2022. "Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach," International Review of Financial Analysis, Elsevier, vol. 79(C).
    6. Joseba Luzarraga-Goitia & Marta Regúlez-Castillo & Arturo Rodríguez-Castellanos, 2021. "The dynamics between the stock market and exchange rates: Spain 1999–2015," The European Journal of Finance, Taylor & Francis Journals, vol. 27(7), pages 655-678, May.
    7. Gurgul, Henryk & Lach, Łukasz, 2012. "The electricity consumption versus economic growth of the Polish economy," Energy Economics, Elsevier, vol. 34(2), pages 500-510.
    8. Henryk Gurgul & £ukasz Lach, 2012. "Financial Development and Economic Growth in Poland in Transition: Causality Analysis," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(4), pages 347-367, August.
    9. Gurgul, Henryk & Lach, lukasz, 2011. "The role of coal consumption in the economic growth of the Polish economy in transition," Energy Policy, Elsevier, vol. 39(4), pages 2088-2099, April.
    10. Bianca Biagi & Manuela Pulina, 2009. "Bivariate VAR models to test Granger causality between tourist demand and supply: Implications for regional sustainable growth," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 231-244, March.
    11. Andre M. Marques & Gilberto Tadeu Lima, 2021. "Testing for Granger Causality in Quantiles Between the Wage Share and Capacity Utilization," Working Papers, Department of Economics 2021_03, University of São Paulo (FEA-USP).
    12. Chakraborty, Chandana & Nunnenkamp, Peter, 2006. "Economic reforms, foreign direct investment and its economic effects in India," Kiel Working Papers 1272, Kiel Institute for the World Economy (IfW Kiel).
    13. Tri Nguyen & Quang Bui & Tan Nguyen, 2016. "Causal Correlation between Exchange Rate and Stock Index: Evidence from VN-Index," Asian Social Science, Canadian Center of Science and Education, vol. 12(8), pages 1-43, August.
    14. Yau, Hwey-Yun & Nieh, Chien-Chung, 2006. "Interrelationships among stock prices of Taiwan and Japan and NTD/Yen exchange rate," Journal of Asian Economics, Elsevier, vol. 17(3), pages 535-552, June.
    15. Broome, Simon & Morley, Bruce, 2004. "Stock prices as a leading indicator of the East Asian financial crisis," Journal of Asian Economics, Elsevier, vol. 15(1), pages 189-197, February.
    16. Laborde, David & Rey, Serge, 2001. "Transmission internationale de la volatilité des prix d’actifs financiers : les relations entre les marchés français et américains de 1997 à 2000 [Volatility and cross correlation across asset mark," MPRA Paper 30284, University Library of Munich, Germany.
    17. Gurgul, Henryk & Lach, Łukasz, 2011. "Causality analysis between public expenditure and economic growth of Polish economy in last decade," MPRA Paper 52281, University Library of Munich, Germany.
    18. Gurgul, Henryk & Lach, Łukasz, 2012. "Technological progress and economic growth: evidence from Poland," MPRA Paper 52279, University Library of Munich, Germany.
    19. Wang, Xia & Zheng, Tingguo & Zhu, Yanli, 2014. "Money–output Granger causal dynamics in China," Economic Modelling, Elsevier, vol. 43(C), pages 192-200.
    20. Paul Alagidede & Theodore Panagiotidis & Xu Zhang, 2011. "Causal relationship between stock prices and exchange rates," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 20(1), pages 67-86.

    More about this item

    Keywords

    CROLEI (CROatian Leading Economic Indicators); forecasting indicator; barometric method; signaling method;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipf:finteo:v:30:y:2006:i:4:p:311-346. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Martina Fabris (email available below). General contact details of provider: https://edirc.repec.org/data/ijfffhr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.