Acta Oeconomica Pragensia 2014, 22(3):45-60 | DOI: 10.18267/j.aop.436

Composite Coincident Indicator of the Czech Business Cycle

Andrea Tkáčová
Technická univerzita v Košiciach, Ekonomická fakulta (andrea.tkacova@tuke.sk).

This article's objective is to create the Composite Coincident Indicator - CCI for the Czech economy, which is useful for monitoring of the Czech business cycle and its comparison with the GDP and the Index of Industrial Production. In the theoretical part of this article, we describe three indexes which currently represent options for monitoring of business cycles. The most useful indexes are the GDP, the Index of Industrial Production and the CCI. We also compare advantages and disadvantages of these indexes for the Czech business cycle. In the empirical part of the article, we analyse 127 indicators from different parts of economics and select coincident cyclic indicators that are the most appropriate for the creation of the CCI. The most useful methods in our analysis are Hodrick-Prescott filter and cross-correlations. Besides the creation of our own CCI, we compare this composite indicator with the GDP and the Index of Industrial Production. Then we analyse prediction abilities of Composite Leading Indicators (CLI) in a relationship with the CCI, GDP and Index of Industrial Production for the Czech economy.

Keywords: business cycle, composite coincident indicator, GDP, index of industrial production
JEL classification: E3, E32

Published: June 1, 2014  Show citation

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Tkáčová, A. (2014). Composite Coincident Indicator of the Czech Business Cycle. Acta Oeconomica Pragensia, 22(3), 45-60. doi: 10.18267/j.aop.436
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    References

    1. BURNS, A. F; MITCHELL, W. C. Measuring Business Cycles. Cambridge : NBER, 1946. ISBN 0-870-14085-X.
    2. CONFERENCE BOARD. Business Cycle Indicator Handbook - Economic Research www.conference-board.org/pdf_free/economics/bci/BCI-Handbook.pdf [cit. 2011-10-3].
    3. CZESANÝ, S.; JEŘÁBKOVÁ, Z. 2009a. Kompozitní indikátory hospodářského cyklu české ekonomiky. Statistika. 2009, č. 3, s. 257-274. http://panda.hyperlink.cz/cestapdf/pdf09c3/czesany.pdf [cit. 2010-10-17].
    4. CZESANÝ, S.; JEŘÁBKOVÁ, Z. 2009b. Metoda konstrukce kompozitních indikátorů hospodářského cyklu pro českou ekonomiku. Statistika. 2009, č. 1, s. 21-31. http://panda.hyperlink.cz/cestapdf/pdf09c1/czesany.pdf [cit. 2010-10-21].
    5. CZESANÝ, S. Hospodářský cyklus. Praha : Linde, 2006. ISBN 80-7201-576-1.
    6. CZESANÝ, S. Kompozitní indikátory hospodářského cyklu české ekonomiky. Statistika. 2009, č. 3, s. 256-274.
    7. CZESANÝ, S.; MACHÁČKOVÁ, L.; SEDLÁČEK P Monitorování a analýza hospodářského cyklu. Praha : Český statistický úřad, 2007. ISBN 978-80-250-1401-1.
    8. EVERTS, M. P Measuring Business Cycles. Berlin : Verlag im Internet, 2006. ISBN 3-86624- 160-7.
    9. CHAJDIAK, J.; RUBLÍKOVÁ, E.; GUDÁBA. M. Štatistické metódy v praxi. Bratislava : Statistik, 1994.
    10. KLÚČIK, M. 2009. Composite Reference Series and Composite Leading Indicator for Slovakia. www. isae.it/MFC/2009/klucik.pdf [cit. 2013-3-3].
    11. NARDO, M.; SAISANA, M. Handbook on Constructing Composite Indicators: Methodology and User Guide [OECD Statistics Working Papers 3/2005]. Paris : OECD, 2005. www.olis.oecd.org/olis/ 2005doc.nsf/LinkTo/NT00002E4E/$FILE/JT00188147 [cit. 2013-3-3].
    12. MAREK, L. et al. Statistika pro ekonomy - aplikace. Praha : Professional Publishing. 2007.
    13. OECD. Cyklical Indicators and Business Tendency Survey. Paris : Organization for Economic Coopera-tion and Development, 1993.
    14. OECD. The OECD-JRC Handbook on Practices for Developing Composite Indicators. Paris : OECD Committee on Statistics, 7-8 June 2004.
    15. OECD. Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publishing, 2008. ISBN 978-92-64-04345-9. Go to original source...
    16. OECD. 2012a. Main economic indicator: Composite leading indicators for countries. http://stats.oecd.org/mei/default.asp?lang=e⊂ject=5 [cit. 2013-3-2].
    17. OECD. 2012b. OECD Composite leading indicator - Czech Republic. www.oecd.org/std/leading-indi-cators/49985378.pdf [cit. 2014-4-24].
    18. OZYILDIRIM, A.; SCHAITKIN, B.; ZARNOWITZ, V. Business Cycles in the Euro Area Defined with Coincident Economic Indicators and Predicted with Leading Economic Indicators. 5th Eurost-at Colloquium on Modern Tools for Business Cycle Analysis, Luxembourg, 29. September - 1. October 2008; Access 5 January 2009. www.conferenceboard.org/economics/workingpapers. cfm?pdf=E-0031-08-WP [cit. 2013-2-26]. Go to original source...
    19. SCHILCHT, E. Estimating the smoothing parameter in theso-called Hodrick-Prescott filter. Journal of the Japanese Statistical Society. 2009, no. 35, s. 99-119. Go to original source...
    20. TKÁČOVÁ, A. Kompozitný predstihový indikátor hospodárskeho cyklu českej ekonomiky. Politická ekonomie. 2012, roč. 60, s. 590-613. Go to original source...
    21. TUVERI, J. P 1997. National accounts Central and Eastern Europe. http://search.oecd.org/officialdocu-ments/displaydocumentpdf/?cote=OCDE/GD%2897%2939&docLanguage=En [cit. 2010-9-16].

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