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Systemic event prediction by an aggregate early warning system: An application to the Czech Republic

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  • Zigraiova, Diana
  • Jakubik, Petr

Abstract

This work develops an early warning framework for assessing systemic risks and predicting systemic events over a short horizon of six quarters and a long horizon of 12 quarters on a panel of 14 countries, both advanced and developing. First, we build a financial stress index to identify the starting dates of systemic financial crises for each country in the panel. Second, early warning indicators for the assessment and prediction of systemic risk are selected in a two-step approach; we find relevant prediction horizons for each indicator by a univariate logit model followed by the application of Bayesian model averaging to identify the most useful indicators. Finally, we observe the performance of the constructed EWS over both horizons on the Czech data and find that the model over the long horizon outperforms the EWS over the short horizon. For both horizons, out-of-sample probability estimates do not deviate substantially from their in-sample estimates, indicating a good out-of-sample performance for the Czech Republic.

Suggested Citation

  • Zigraiova, Diana & Jakubik, Petr, 2015. "Systemic event prediction by an aggregate early warning system: An application to the Czech Republic," Economic Systems, Elsevier, vol. 39(4), pages 553-576.
  • Handle: RePEc:eee:ecosys:v:39:y:2015:i:4:p:553-576
    DOI: 10.1016/j.ecosys.2015.04.004
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    References listed on IDEAS

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    Cited by:

    1. Mpho Bosupeng, 2018. "Leading Indicators and Financial Crisis: A Multi-Sectoral Approach Using Signal Extraction," Journal of Empirical Studies, Conscientia Beam, vol. 5(1), pages 20-44.
    2. Spyridou, Anastasia, 2019. "Evaluating Factors of Small and Medium Hospitality Enterprises Business Failure: a conceptual approach," MPRA Paper 93997, University Library of Munich, Germany.
    3. Mansour-Ichrakieh, Layal & Zeaiter, Hussein, 2019. "The role of geopolitical risks on the Turkish economy opportunity or threat," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. NAGY, Ágnes & DÉZSI-BENYOVSZKI, Annamária & SZÉKELY, Imre, 2016. "Measuring Financial Systemic Stress In Romania: A Composite Indicator Approach," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 20(3), pages 28-38.
    5. Michal Andrle & Oxana Babecka Kucharcukova & Jaromir Baxa & Jan Bruha & Peter Claeys & Jan Filacek & Jakub Mateju & Miroslav Plasil & Serhat Solmaz & Borek Vasicek, 2015. "Monetary Policy Challenges in a Low-Inflation Environment," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 13, number rb13/2 edited by Jan Babecky & Michal Franta, March.
    6. Jan Bruha & Jiri Polansky & Jaromir Tonner & Stanislav Tvrz & Osvald Vasicek & Jan Babecky & Kamil Galuscak & Lubomir Lizal & Diana Zigraiova, 2016. "Topics in Labour Markets," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 14, number rb14/1 edited by Jan Babecky, March.
    7. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

    More about this item

    Keywords

    Systemic risk; Financial stress; Financial crisis; Early warning indicators; Bayesian model averaging; Early warning system;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • G01 - Financial Economics - - General - - - Financial Crises

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