[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpep/v2018y2018i6id682p723-742.html
   My bibliography  Save this article

A Financial Performance Comparison of Czech Credit Unions and European Cooperative Banks

Author

Listed:
  • Matěj Kuc
  • Petr Teplý
Abstract
This paper empirically assesses the financial performance of Czech credit unions in relation to other European cooperative banks in terms of their profitability and stability. We created a unique dataset of 283 cooperative banks from 15 European countries in the period 2006-2013. Using the system GMM and alternative panel data methods, we reveal worse performance of Czech credit unions in terms of both profitability and stability compared to their European peers. We also argue that big credit unions in the Czech Republic have assumed a non-sustainable business model depending on excessive risk taking while enjoying implicit subsidy via deposit insurance. In conclusion, we argue that under recent capital management policies, big Czech credit unions will likely face serious financial problems in coming years.

Suggested Citation

  • Matěj Kuc & Petr Teplý, 2018. "A Financial Performance Comparison of Czech Credit Unions and European Cooperative Banks," Prague Economic Papers, Prague University of Economics and Business, vol. 2018(6), pages 723-742.
    • Handle: RePEc:prg:jnlpep:v:2018:y:2018:i:6:id:682:p:723-742
    DOI: 10.18267/j.pep.682
    as

    Download full text from publisher

    File URL: http://pep.vse.cz/doi/10.18267/j.pep.682.html
    Download Restriction: free of charge
    File URL: http://pep.vse.cz/doi/10.18267/j.pep.682.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.pep.682?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Beckmann, Rainer, 2007. "Profitability of Western European banking systems: panel evidence on structural and cyclical determinants," Discussion Paper Series 2: Banking and Financial Studies 2007,17, Deutsche Bundesbank.
    2. Hong Liu & Phil Molyneux & John O. S. Wilson, 2013. "Competition And Stability In European Banking: A Regional Analysis," Manchester School, University of Manchester, vol. 81(2), pages 176-201, March.
    3. Lepetit, Laetitia & Strobel, Frank, 2013. "Bank insolvency risk and time-varying Z-score measures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 73-87.
    4. Delis, Manthos D. & Kouretas, Georgios P., 2011. "Interest rates and bank risk-taking," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 840-855, April.
    5. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    6. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    7. Barbora Šútorová & Petr Teplý, 2014. "The Level of Capital and the Value of EU Banks under Basel III," Prague Economic Papers, Prague University of Economics and Business, vol. 2014(2), pages 143-161.
    8. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    9. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    11. Lepetit, Laetitia & Strobel, Frank, 2013. "Bank insolvency risk and time-varying Z-score measures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 73-87.
    12. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    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. Matěj Maivald & Petr Teplý, 2020. "The impact of low interest rates on banks' non-performing loans," FFA Working Papers 2.002, Prague University of Economics and Business, revised 25 Feb 2020.
    2. Matěj Kuc & Petr Teplý, 2023. "Are European commercial banks more profitable than cooperative banks? Evidence from a low interest rate environment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4385-4400, October.

    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. repec:prg:jnlpep:v:preprint:id:682:p:1-20 is not listed on IDEAS
    2. Guidi, Francesco, 2021. "Concentration, competition and financial stability in the South-East Europe banking context," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 639-670.
    3. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    4. Abdelraouf, Nadine & Noureldin, Diaa, 2022. "The impact of the exchange rate regime on the dispersion of the price-change distribution: Evidence from a large panel of countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    5. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    6. Fendel Tanja, 2016. "Migration and Regional Wage Disparities in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(1), pages 3-35, February.
    7. Schneider, Sophie Therese, 2018. "North-South trade agreements and the quality of institutions: Panel data evidence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 27-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    8. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    9. Möller Joachim & Tubadji Annie, 2009. "The Creative Class, Bohemians and Local Labor Market Performance: A Micro-data Panel Study for Germany 1975–2004," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(2-3), pages 270-291, April.
    10. Poelhekke, Steven, 2011. "Urban growth and uninsured rural risk: Booming towns in bust times," Journal of Development Economics, Elsevier, vol. 96(2), pages 461-475, November.
    11. Monica Schuster & Miet Maertens, 2013. "8 Private Food Standards and Firm-Level Trade Effects: A Dynamic Analysis of the Peruvian Asparagus Export Sector," Frontiers of Economics and Globalization, in: Nontariff Measures with Market Imperfections: Trade and Welfare Implications, pages 187-213, Emerald Group Publishing Limited.
    12. Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014. "Supply response along the value chain in selected SSA countries: the case of grains," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197193, International Agricultural Trade Research Consortium.
    13. Al-Gasaymeh, Anwar, 2016. "Bank efficiency determinant: Evidence from the gulf cooperation council countries," Research in International Business and Finance, Elsevier, vol. 38(C), pages 214-223.
    14. Bebonchu Atems & Grayden Shand, 2018. "An empirical analysis of the relationship between entrepreneurship and income inequality," Small Business Economics, Springer, vol. 51(4), pages 905-922, December.
    15. Laptieva, Nataliia, 2016. "Information sharing and the volume of private credit in transition: Evidence from Ukrainian bank-level panel dataAuthor-Name: Grajzl, Peter," Journal of Comparative Economics, Elsevier, vol. 44(2), pages 434-449.
    16. Medina-Durango, Carlos Alberto & Posso Suárez, Christian Manuel & Tamayo, Jorge A. & Monsalve, Emma, 2012. "Dinámica de la demanda laboral en la industria manufacturera colombiana 1993-2009 : una estimación panel VAR," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 7, pages 289-330, Banco de la Republica de Colombia.
    17. J.A. Bikker & Tobias M. Vervliet, 2017. "Bank Profitability and Risk-Taking under Low Interest Rates," Working Papers 17-10, Utrecht School of Economics.
    18. Johanna Vogel, 2012. "Agglomeration and Growth: Evidence from the Regions of Central and Eastern Europe," ERSA conference papers ersa12p1089, European Regional Science Association.
    19. Christian Merkl & Stephanie Stolz, 2009. "Banks' regulatory buffers, liquidity networks and monetary policy transmission," Applied Economics, Taylor & Francis Journals, vol. 41(16), pages 2013-2024.
    20. Marques Pereira, João André C. & Saito, Richard, 2015. "How banks respond to Central Bank supervision: Evidence from Brazil," Journal of Financial Stability, Elsevier, vol. 19(C), pages 22-30.
    21. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.

    More about this item

    Keywords

    credit union; cooperative banking; moral hazard; system GMM; Z-Score;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    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:prg:jnlpep:v:2018:y:2018:i:6:id:682:p:723-742. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.