IDEAS home Printed from https://ideas.repec.org/p/nbp/nbpmis/312.html
   My bibliography  Save this paper

Optimal level of capital in the Polish banking sector

Author

Listed:
  • Piotr Bańbuła

    (Narodowy Bank Polski)

  • Arkadiusz Kotuła

    (Narodowy Bank Polski)

  • Agnieszka Paluch

    (Narodowy Bank Polski)

  • Mateusz Pipień

    (Narodowy Bank Polski)

  • Piotr Wdowiński

    (Narodowy Bank Polski)

Abstract

This study presents estimates of the optimal level of aggregate Tier 1 capital ratio in the Polish banking sector. The analysis takes into account macroeconomic benefits of raising Tier 1 capital ratio and macroeconomic costs related to it. The main macroeconomic benefit from a higher capital captured in the study is a higher resilience of the banking sector and consequently a reduction in the likelihood of a banking crisis. The benefit of higher capital ratios is expressed as the product of a decrease in the likelihood of a crisis and the expected cost of a crisis. The latter was calibrated based on the literature review. The probabilities of crisis for different levels of capital were calculated based on probit models estimated on macro data and a simulation model reflecting some of the main features of the banking sector in Poland. The SVAR model estimated on data for the Polish economy was used to assess the scale of the slowdown in GDP growth due to a rise of capital ratios. The net effect of an increase of capital ratios, expressed as a percentage of GDP, reflects the difference between their expected benefits due to the reduction in the probability of a crisis and their economic costs in the form of a decrease in the expected GDP growth rate. The level of Tier 1 ratio, at which the net effect, i.e. the difference between benefits and costs of raising capital ratios, is the largest, is called optimal from a macroeconomic perspective. The results indicate that the optimal level of aggregate Tier 1 ratio is in the range of 11%-23% with the expected value derived from this analysis and the literature at the level of 18%.

Suggested Citation

  • Piotr Bańbuła & Arkadiusz Kotuła & Agnieszka Paluch & Mateusz Pipień & Piotr Wdowiński, 2019. "Optimal level of capital in the Polish banking sector," NBP Working Papers 312, Narodowy Bank Polski.
  • Handle: RePEc:nbp:nbpmis:312
    as

    Download full text from publisher

    File URL: https://static.nbp.pl/publikacje/materialy-i-studia/312_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Meeks, Roland, 2017. "Capital regulation and the macroeconomy: Empirical evidence and macroprudential policy," European Economic Review, Elsevier, vol. 95(C), pages 125-141.
    3. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    4. Noss, Joseph & Toffano, Priscilla, 2016. "Estimating the impact of changes in aggregate bank capital requirements on lending and growth during an upswing," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 15-27.
    5. Jeffrey M. Wooldridge, 2002. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," CeMMAP working papers 18/02, Institute for Fiscal Studies.
    6. Székely, István P. & Turrini, Alessandro & Röger, Werner, 2010. "Banking crises, Output Loss and Fiscal Policy," CEPR Discussion Papers 7815, C.E.P.R. Discussion Papers.
    7. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
    8. C. N. V. Krishnan & P. H. Ritchken & J. B. Thomson, 2005. "Monitoring and Controlling Bank Risk: Does Risky Debt Help?," Journal of Finance, American Finance Association, vol. 60(1), pages 343-378, February.
    Full references (including those not matched with items on IDEAS)

    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. Kern, Andreas & Nosrati, Elias & Reinsberg, Bernhard & Sevinc, Dilek, 2023. "Crash for cash: Offshore financial destinations and IMF programs," European Journal of Political Economy, Elsevier, vol. 78(C).
    2. Rodriguez, Cesar M., 2016. "Economic and political determinants of exchange rate regimes: The case of Latin America," International Economics, Elsevier, vol. 147(C), pages 1-26.
    3. Kerstin Bruckmeier & Katrin Hohmeyer & Stefan Schwarz, 2018. "Welfare receipt misreporting in survey data and its consequences for state dependence estimates: new insights from linked administrative and survey data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-21, December.
    4. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    5. Peter Haan & Victoria Prowse, 2010. "A structural approach to estimating the effect of taxation on the labour market dynamics of older workers," Econometrics Journal, Royal Economic Society, vol. 13(3), pages 99-125, October.
    6. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    7. Naciba Haned & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2014. "Firm persistence in technological innovation: the relevance of organizational innovation," Post-Print halshs-01496526, HAL.
    8. Burcu Duygan-Bump & Charles Grant, 2008. "Household debt repayment behaviour: what role do institutions play?," Supervisory Research and Analysis Working Papers QAU08-3, Federal Reserve Bank of Boston.
    9. Demiralp, Berna, 2011. "Occupational self-selection in a labor market with moral hazard," European Economic Review, Elsevier, vol. 55(4), pages 497-519, May.
    10. Tue Gørgens & Dean Robert Hyslop, 2018. "The Specification of Dynamic Discrete-Time Two-State Panel Data Models," Econometrics, MDPI, vol. 7(1), pages 1-16, December.
    11. Ni, Shawn & Podgursky, Michael & Wang, Xiqian, 2022. "Teacher pension enhancements and staffing in an urban school district," Journal of Pension Economics and Finance, Cambridge University Press, vol. 21(4), pages 613-633, October.
    12. Jia, Lili, 2012. "Land fragmentation and off-farm labor supply in China," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 66, number 66.
    13. Otterbach, Steffen & Wooden, Mark & Fok, Yin King, 2016. "Working-Time Mismatch and Mental Health," IZA Discussion Papers 9818, Institute of Labor Economics (IZA).
    14. Costa-Font, Joan & Vilaplana-Prieto, Cristina, 2022. "Health shocks and housing downsizing: How persistent is ‘ageing in place’?," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 490-508.
    15. Pedro Albarran & Raquel Carrasco & Adelheid Holl, 2013. "Domestic transport infrastructure and firms’ export market participation," Small Business Economics, Springer, vol. 40(4), pages 879-898, May.
    16. Belzil, Christian & Bognanno, Michael & Poinas, François, 2012. "Promotion Determinants in Corporate Hierarchies: An Examination of Fast Tracks and Functional Area," TSE Working Papers 12-348, Toulouse School of Economics (TSE).
    17. Martin Woerter, 2014. "Competition and Persistence of R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(5-6), pages 469-489, September.
    18. Fielding, David & Rewilak, Johan, 2015. "Credit booms, financial fragility and banking crises," Economics Letters, Elsevier, vol. 136(C), pages 233-236.
    19. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    20. Takahiro Miura, 2016. "The association between time preference and smoking behavior: A dynamic panel analysis," Discussion Papers in Economics and Business 16-16, Osaka University, Graduate School of Economics.

    More about this item

    Keywords

    financial crisis; macroprudential policy; bank capital; banking sector regulation;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbp:nbpmis:312. 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: Jakub Growiec (email available below). General contact details of provider: https://edirc.repec.org/data/nbpgvpl.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.