IDEAS home Printed from https://ideas.repec.org/a/eee/jpolmo/v44y2022i1p113-129.html
   My bibliography  Save this article

Regulation and supervision of the European banking industry. Does one size fit all?

Author

Listed:
  • Iwanicz-Drozdowska, Małgorzata
  • Witkowski, Bartosz

Abstract

Post-global financial crisis (GFC) regulatory overhauls – where uniform solutions were adopted for various types of banks – have significantly changed the environment in which banks operate. This is especially visible in the European banking industry, whose profitability has not recovered to pre-GFC levels. Therefore, our goal is to investigate whether the determinants of bank profitability fit these uniform solutions. Accordingly, we explore the profitability of European banks in various settings from 2012 to 2016, which is the period marked by tough reforms. Since a decrease in profit may be treated as a sign of financial difficulties, we model static (i.e., loss) and dynamized (i.e., loss, moderate and severe decreases in profits) indicators of bank situations based on a sample of approximately 6700 bank-year observations. Different patterns of the determinants of profit decreases are found among different types and sizes of banks. Moreover, the determinants of loss events apparently differ from those accounting for profit decreases. These findings underline that a “one-size-fits-all” approach to regulation and supervision is not adequate for market realities.

Suggested Citation

  • Iwanicz-Drozdowska, Małgorzata & Witkowski, Bartosz, 2022. "Regulation and supervision of the European banking industry. Does one size fit all?," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 113-129.
  • Handle: RePEc:eee:jpolmo:v:44:y:2022:i:1:p:113-129
    DOI: 10.1016/j.jpolmod.2021.09.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0161893821000983
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jpolmod.2021.09.008?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. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2019. "Predicting European bank stress tests: Survival of the fittest," Global Finance Journal, Elsevier, vol. 39(C), pages 44-57.
    2. Shaffer, Sherrill, 2012. "Bank failure risk: Different now?," Economics Letters, Elsevier, vol. 116(3), pages 613-616.
    3. Gerhard Hambusch & Sherrill Shaffer, 2016. "Forecasting bank leverage: an alternative to regulatory early warning models," Journal of Regulatory Economics, Springer, vol. 50(1), pages 38-69, August.
    4. Raymond A.K. Cox & Grace W.-Y. Wang, 2014. "Predicting the US bank failure: A discriminant analysis," Economic Analysis and Policy, Elsevier, vol. 44(2), pages 202-211.
    5. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    6. Tigran Poghosyan & Martin Čihak, 2011. "Determinants of Bank Distress in Europe: Evidence from a New Data Set," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(3), pages 163-184, December.
    7. Iwanicz-Drozdowska, Małgorzata & Jackowicz, Krzysztof & Kozłowski, Łukasz, 2018. "SMEs' near-death experiences. Do local banks extend a helping hand?," Emerging Markets Review, Elsevier, vol. 37(C), pages 47-65.
    8. Jose A. Lopez, 1999. "Using CAMELS ratings to monitor bank conditions," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue jun.
    9. Mr. Shekhar Aiyar & Mai Dao & Andreas Jobst & Ms. Aiko Mineshima & Ms. Srobona Mitra & Mahmood Pradhan, 2021. "COVID-19: How Will European Banks Fare?," IMF Departmental Papers / Policy Papers 2021/008, International Monetary Fund.
    10. Rebel Cole & Lawrence White, 2012. "Déjà Vu All Over Again: The Causes of U.S. Commercial Bank Failures This Time Around," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 5-29, October.
    11. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    12. Arena, Marco, 2008. "Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank-level data," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 299-310, February.
    13. Til Schuermann, 2020. "Capital Adequacy Pre‐ and Postcrisis and the Role of Stress Testing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 87-105, October.
    14. Pavel Kapinos & Oscar A. Mitnik, 2016. "A Top-down Approach to Stress-testing Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(2), pages 229-264, June.
    15. Allen N. Berger & Björn Imbierowicz & Christian Rauch, 2016. "The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(4), pages 729-770, June.
    16. Ozdemir, Nilufer & Triplett, Russell & Altinoz, Cuneyt, 2019. "One size fits all? The differential impact of parent capital on bank failures," Finance Research Letters, Elsevier, vol. 29(C), pages 136-140.
    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. Bouteska, Ahmed & Büyükoğlu, Burak & Ekşi, Ibrahim Halil, 2023. "How effective are banking regulations on banking performance and risk? Evidence from selected European countries," Finance Research Letters, Elsevier, vol. 53(C).
    2. Gómez Fernández-Aguado, Pilar & Partal Ureña, Antonio & Trigo Martínez, Eduardo, 2024. "Risk contribution to deposit insurance: Evidence from commercial and cooperative banks in the Eurozone," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 341-355.

    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. Li Xian Liu & Shuangzhe Liu & Milind Sathye, 2021. "Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    2. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    3. Basim Alzugaiby & Jairaj Gupta & Andrew Mullineux & Rizwan Ahmed, 2021. "Relevance of size in predicting bank failures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3504-3543, July.
    4. Qiongbing Wu & Rebel A. Cole, 2024. "Macroeconomic conditions and bank failure," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1212-1234, August.
    5. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
    6. Papanikolaou, Nikolaos I., 2018. "To be bailed out or to be left to fail? A dynamic competing risks hazard analysis," Journal of Financial Stability, Elsevier, vol. 34(C), pages 61-85.
    7. Manthoulis, Georgios & Doumpos, Michalis & Zopounidis, Constantin & Galariotis, Emilios, 2020. "An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks," European Journal of Operational Research, Elsevier, vol. 282(2), pages 786-801.
    8. Gerhard Hambusch & Sherrill Shaffer, 2016. "Forecasting bank leverage: an alternative to regulatory early warning models," Journal of Regulatory Economics, Springer, vol. 50(1), pages 38-69, August.
    9. Evžen Kočenda & Ichiro Iwasaki, 2022. "Bank survival around the world: A meta‐analytic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 108-156, February.
    10. Gerhard Hambusch & Sherrill Shaffer, 2012. "Forecasting Bank Leverage," Working Paper Series 176, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Małgorzata Iwanicz-Drozdowska & Krzysztof Jackowicz & Maciej Karczmarczyk, 2021. "“The Crooked Smile of TCR†: Banks’ Solvency and Restructuring Costs in the European Banking Industry," SAGE Open, , vol. 11(3), pages 21582440211, September.
    12. Kristóf, Tamás & Virág, Miklós, 2022. "EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks," Research in International Business and Finance, Elsevier, vol. 61(C).
    13. Saad Alsunbul & Basim Alzugaiby & Sajid Chaudhry & Rhada Boujlil, 2024. "The fatter the tail, the shorter the sail," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 331-380, March.
    14. Mare, Davide Salvatore, 2015. "Contribution of macroeconomic factors to the prediction of small bank failures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 25-39.
    15. Avino, Davide E. & Conlon, Thomas & Cotter, John, 2019. "Credit default swaps as indicators of bank financial distress," Journal of International Money and Finance, Elsevier, vol. 94(C), pages 132-139.
    16. Stelios Markoulis & Panagiotis Ioannou & Spiros Martzoukos, 2023. "Bank distress in the European Union 2008–2015: A closer look at capital, size and revenue diversification," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 792-820, January.
    17. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    18. Petropoulos, Anastasios & Siakoulis, Vasilis & Stavroulakis, Evangelos & Vlachogiannakis, Nikolaos E., 2020. "Predicting bank insolvencies using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1092-1113.
    19. Mikko Makinen & Laura Solanko, 2018. "Determinants of Bank Closures: Do Levels or Changes of CAMEL Variables Matter?," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 3-21, June.
    20. Pessarossi, Pierre & Thevenon, Jean-Luc & Weill, Laurent, 2020. "Does high profitability improve stability for European banks?," Research in International Business and Finance, Elsevier, vol. 53(C).

    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:eee:jpolmo:v:44:y:2022:i:1:p:113-129. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505735 .

    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.