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The JT Index as an Indicator of Financial Stability of Corporate Sector

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  • Petr Jakubík
  • Petr Teplý

Abstract

This paper presents the construction of a new indicator (named the JT index) evaluating the economy's financial stability, which is based on a financial scoring model estimated on Czech corporate accounting data. Seven financial indicators capable of explaining business failure at a 1-year prediction horizon are identified. Using the model estimated in this way, an aggregate indicator of the creditworthiness of the Czech corporate sector (the JT index) is then constructed and its evolution over time is shown. This indicator aids the estimation of the risks of this sector going forward and broadens the existing analytical set-up used by the Czech National Bank for its financial stability analyses. The results suggest that the creditworthiness of the Czech corporate sector steadily improved between 2004 and 2006. However, the JT index for 2007 and 2008 deteriorated what could be explained through global market turbulences while the further decrease in 2009 rather by the global recession. The used methodology for the construction of the JT index might be suitable for decision makers when evaluating the economy's financial stability. Although our research is done as a case study on the Czech Republic, its basic idea might be easily applied to other countries as well.

Suggested Citation

  • Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.
  • Handle: RePEc:prg:jnlpep:v:2011:y:2011:i:2:id:394:p:157-176
    DOI: 10.18267/j.pep.394
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    3. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
    4. Janda, Karel & Kravtsov, Oleg, 2017. "Time-varying Effects of Public Debt on the Financial and Banking Development in the Central and Eastern Europe," MPRA Paper 77325, University Library of Munich, Germany.
    5. Beata Gavurova & Sylvia Jencova & Radovan Bacik & Marta Miskufova & Stanislav Letkovsky, 2022. "Artificial intelligence in predicting the bankruptcy of non-financial corporations," Oeconomia Copernicana, Institute of Economic Research, vol. 13(4), pages 1215-1251, December.
    6. Petr Jakubík & Tatiana Škerlíková, 2014. "Macroeconomic Determinants of Firms' Default in the Czech Republic [Makroekonomické determinanty úpadku firem v České republice]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2014(2), pages 69-80.
    7. Oxana Babecka Kucharcukova & Alexis Derviz & Vaclav Hausenblas & Michal Hlavacek & Mark Joy & Narcisa Kadlcakova & Lubos Komarek & Zlatuse Komarkova & Tomas Konecny & Ivana Kubicova & Jitka Lesanovska, 2014. "Macroprudential Research: Selected Issues," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 12, number rb12/2 edited by Jan Babecky & Borek Vasicek, January.
    8. Jan Babecky & Alena Bicakova & Alexis Derviz & Tomas Havranek & Roman Horvath & Lubos Komarek & Zlatuse Komarkova & Jakub Mateju & Ke Pang & Renata Pasalicova & Zuzana Prelcova & Marie Rakova & Pierre, 2011. "Macro-Financial Linkages: Theory and Applications," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 9, number rb09/2 edited by Jan Babecky, January.
    9. Michal Pavlicko & Marek Durica & Jaroslav Mazanec, 2021. "Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries," Mathematics, MDPI, vol. 9(16), pages 1-26, August.
    10. repec:prg:jnlpep:v:preprint:id:527:p:1-23 is not listed on IDEAS
    11. Aleš Melecký & Martin Melecký & Monika Šulganová, 2015. "Úvěry v selhání a makroekonomika: modelování systémového kreditního rizika v České republice [Non-Performing Loans and The Macroeconomy: Modeling the Systemic Credit Risk in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(8), pages 921-947.
    12. Arlyana Abubakar & Rieska Indah Astuti & Rini Oktapiani, 2015. "Selecting Early Warning Indicator To Identify Corporate Sector Distress: Efforts To Strengthen Crisis Prevention," Working Papers WP/7/2015, Bank Indonesia.
    13. Katarina Valaskova & Dominika Gajdosikova & Jaroslav Belas, 2023. "Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 253-293, March.
    14. Frantisek Brazdik & Jan Bruha & Michal Franta & David Havrlant & Tibor Hledik & Tomas Holub & Zuzana Humplova & Frantisek Kopriva & Jiri Polansky & Marek Rusnak & Jaromir Tonner, 2015. "Forecasting," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 13, number rb13/1 edited by Jan Babecky & Kamil Galuscak, January.
    15. 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, January.
    16. Milan Šimáček, 2012. "Indexy finančního stresu pro Českou republiku a Maďarsko [Financial Stress Indexes for the Czech Republic and Hungary]," Politická ekonomie, Prague University of Economics and Business, vol. 2012(5), pages 614-634.
    17. Tereza Fišerová & Petr Teplý & David Tripe, 2015. "The Performance of Foreign-Owned Banks in Host Country Economies," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(5), pages 538-561.
    18. Michal Pavlicko & Jaroslav Mazanec, 2022. "Minimalistic Logit Model as an Effective Tool for Predicting the Risk of Financial Distress in the Visegrad Group," Mathematics, MDPI, vol. 10(8), pages 1-22, April.
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    More about this item

    Keywords

    financial stability; bankruptcy prediction; logit analysis; corporate sector risk; JT index;
    All these keywords.

    JEL classification:

    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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