IDEAS home Printed from https://ideas.repec.org/a/psc/journl/v1y2010i4p17-36.html
   My bibliography  Save this article

Slowdown or Recession? Forecasts Based on Composite Leading Indicator

Author

Listed:
  • Miroslav Klúcik

    (Institute of Informatics and Statistics (INFOSTAT))

  • Jana Juriová

    (Institute of Informatics and Statistics (INFOSTAT))

Abstract

The economy of Slovakia experienced a turning point in the 1st half of 2008 and entered a phase of decline. The negative impacts of the global economic crisis became evident in the 2nd half of 2008 and led into a recession in the 1st quarter of 2009. The composite leading indicator was originally intended for forecasting of business cycle turning points between the decline and growth phases. The aim of this paper is to transform the qualitative information from composite leading indicator into quantitative forecast and verify whether the beginning of recession in Slovakia could have been identified in advance. The ARIMAX and error correction models are used for the composite reference series and GDP forecasts respectively. The final result shows that the composite leading indicator is useful not only for identifying turning points, but also for the prediction of recession phase.

Suggested Citation

  • Miroslav Klúcik & Jana Juriová, 2010. "Slowdown or Recession? Forecasts Based on Composite Leading Indicator," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(1), pages 17-36, January.
  • Handle: RePEc:psc:journl:v:1:y:2010:i:4:p:17-36
    as

    Download full text from publisher

    File URL: http://www.cejeme.pl/publishedarticles/2010-46-03-634244031661250000-6967.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zarnowitz, Victor & Ozyildirim, Ataman, 2006. "Time series decomposition and measurement of business cycles, trends and growth cycles," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1717-1739, October.
    2. Pami Dua & Anirvan Banerji, 2006. "Business Cycles in India," Working papers 146, Centre for Development Economics, Delhi School of Economics.
    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. Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
    2. Bykova, Anna & Jardon, Carlos M., 2017. "Lean against the wind: The moderation effect of foreign investments during the economic recession in Russia," Journal of Economics and Business, Elsevier, vol. 93(C), pages 1-14.

    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. Sergey V. Smirnov & Nikolay V. Kondrashov & Anna V. Petronevich, 2017. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 53-73, May.
    2. Ludmila Fadejeva & Aleksejs Melihovs, 2008. "The Baltic states and Europe: common factors of economic activity," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 8(1), pages 75-96, October.
    3. Shruthi Jayaram, 2009. "Examining the Decoupling Hypothesis for India," Working Papers id:2119, eSocialSciences.
    4. Mathilde Aubry & Jean Bonnet & Patricia Renou-Maissant, 2015. "Entrepreneurship and the business cycle: the “Schumpeter” effect versus the “refugee” effect—a French appraisal based on regional data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 23-55, January.
    5. Kajal Lahiri & Wenxiong Yao, 2004. "The predictive power of an experimental transportation output index," Applied Economics Letters, Taylor & Francis Journals, vol. 11(3), pages 149-152.
    6. Duncan A. O’Brien & Smita Deb & Gideon Gal & Stephen J. Thackeray & Partha S. Dutta & Shin-ichiro S. Matsuzaki & Linda May & Christopher F. Clements, 2023. "Early warning signals have limited applicability to empirical lake data," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    7. Johan Fourie & Willem H. Boshoff, 2008. "Ship traffic and the economy of the Cape Colony: 1652-1793," Working Papers 089, Economic Research Southern Africa.
    8. Crowley, Patrick & Aaron, Schultz, 2010. "A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis," MPRA Paper 23728, University Library of Munich, Germany.
    9. Henk C. Kranendonk & Jan Bonenkamp & Johan P. Verbruggen, 2004. "A Leading Indicator for the Dutch Economy – Methodological and Empirical Revision of the CPB System," CESifo Working Paper Series 1200, CESifo.
    10. Anirvan Banerji & Pami Dua, 2010. "Synchronisation of Recessions in Major Developed and Emerging Economies," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(2), pages 197-223, May.
    11. Badarau-Semenescu, Cristina & Ndiaye, Cheikh Tidiane, 2010. "Politique économique et transmission des chocs dans la zone euro," L'Actualité Economique, Société Canadienne de Science Economique, vol. 86(1), pages 35-77, mars.
    12. repec:zbw:bofrdp:2009_033 is not listed on IDEAS
    13. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: a reference chronology," SciencePo Working papers Main hal-03373425, HAL.
    14. Mohanty, Jaya & Singh, Bhupal & Jain, Rajeev, 2003. "Business cycles and leading indicators of industrial activity in India," MPRA Paper 12149, University Library of Munich, Germany.
    15. Sen Guo & Haoran Zhao & Huiru Zhao, 2017. "A New Hybrid Wind Power Forecaster Using the Beveridge-Nelson Decomposition Method and a Relevance Vector Machine Optimized by the Ant Lion Optimizer," Energies, MDPI, vol. 10(7), pages 1-20, July.
    16. Pedro M.D.C.B. Gouveia & Paulo M.M. Rodrigues, 2005. "Dating and Synchronizing Tourism Growth Cycles," Tourism Economics, , vol. 11(4), pages 501-515, December.
    17. Sbrana, Giacomo, 2013. "The exact linkage between the Beveridge–Nelson decomposition and other permanent-transitory decompositions," Economic Modelling, Elsevier, vol. 30(C), pages 311-316.
    18. Ataman Ozyildirim & Brian Schaitkin & Victor Zarnowitz, 2010. "Business cycles in the euro area defined with coincident economic indicators and predicted with leading economic indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 6-28.
    19. Herman Kamil & Jose David Pulido & Jose Luis Torres, 2010. "El "IMACO": un índice mensual líder de la actividad económica en Colombia," Borradores de Economia 609, Banco de la Republica de Colombia.
    20. Patrick M. Crowley & Tony Schildt, 2012. "An Analysis of the Embedded Frequency Content of Macroeconomic Indicators and their Counterparts using the Hilbert-Huang Transform," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-31.
    21. Olivier Darné & Laurent Ferrara, 2011. "Identification of Slowdowns and Accelerations for the Euro Area Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 335-364, June.

    More about this item

    Keywords

    Global economic crisis; recession; composite leading indicator; ARIMAX model; error correction model;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:psc:journl:v:1:y:2010:i:4:p:17-36. 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: Damian Jelito (email available below). General contact details of provider: http://cejeme.org/ .

    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.