IDEAS home Printed from https://ideas.repec.org/a/eee/finsta/v33y2017icp331-345.html
   My bibliography  Save this article

Bank regulatory arbitrage via risk weighted assets dispersion

Author

Listed:
  • Ferri, Giovanni
  • Pesic, Valerio

Abstract

Increased dispersion of Risk Weighted Assets (RWA) troubles regulators as potentially undermining prudential supervision. We study the determinants of RWA/EAD (Exposure-At-Default) on data painstakingly compiled from Basel Pillar-Three for 239 European banks over 2007–2013. We improve on most previous studies, which consider instead RWA/TA (Total Assets). Indeed, Internal-Rating-Based (IRB) models allow lawful capital-saving Roll-Out effects which RWA/TA analyses disregard and likely misidentify as regulatory arbitrage. Instead, encapsulating Roll-Out effects, RWA/EAD avoids false positive identification. We find that regulatory arbitrage: (i) was present; (ii) likely materialized via risk weights manipulation with IRB models; (iii) was stronger at Advanced-IRB vs Foundation-IRB banks.

Suggested Citation

  • Ferri, Giovanni & Pesic, Valerio, 2017. "Bank regulatory arbitrage via risk weighted assets dispersion," Journal of Financial Stability, Elsevier, vol. 33(C), pages 331-345.
  • Handle: RePEc:eee:finsta:v:33:y:2017:i:c:p:331-345
    DOI: 10.1016/j.jfs.2016.10.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1572308916301279
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jfs.2016.10.006?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. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data estimation via quantile regressions," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 61-94, October.
    3. Brunella Bruno & Giacomo Nocera & Andrea Resti, 2015. "The credibility of European banks’ risk-weighted capital: structural differences or national segmentations?," BAFFI CAREFIN Working Papers 1509, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Mariathasan, Mike & Merrouche, Ouarda, 2014. "The manipulation of basel risk-weights," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 300-321.
    5. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    6. Andrew G. Haldane & Vasileios Madouros, 2012. "The dog and the frisbee," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 109-159.
    7. 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.
    8. Francesco Vallascas & Jens Hagendorff, 2013. "The Risk Sensitivity of Capital Requirements: Evidence from an International Sample of Large Banks," Review of Finance, European Finance Association, vol. 17(6), pages 1947-1988.
    9. Isabel Argimón & Jenifer Ruiz, 2010. "The effects of national discretions on banks," Working Papers 1029, Banco de España.
    10. Ayadi, Rym & Naceur, Sami Ben & Casu, Barbara & Quinn, Barry, 2016. "Does Basel compliance matter for bank performance?," Journal of Financial Stability, Elsevier, vol. 23(C), pages 15-32.
    11. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    12. Pagano, Michael S. & Sedunov, John, 2016. "A comprehensive approach to measuring the relation between systemic risk exposure and sovereign debt," Journal of Financial Stability, Elsevier, vol. 23(C), pages 62-78.
    13. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    14. Fratianni, Michele & Pattison, John C., 2015. "Basel III in Reality," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 30, pages 1-28.
    15. Barakova, Irina & Palvia, Ajay, 2014. "Do banks’ internal Basel risk estimates reflect risk?," Journal of Financial Stability, Elsevier, vol. 13(C), pages 167-179.
    16. Cihak, Martin & Demirgüç-Kunt, Asli & Martinez Peria, Maria Soledad & Mohseni-Cheraghlou, Amin, 2013. "Bank regulation and supervision in the context of the global crisis," Journal of Financial Stability, Elsevier, vol. 9(4), pages 733-746.
    17. Karim, Dilruba & Liadze, Iana & Barrell, Ray & Davis, E. Philip, 2013. "Off-balance sheet exposures and banking crises in OECD countries," Journal of Financial Stability, Elsevier, vol. 9(4), pages 673-681.
    18. Francesco cannata & Simone Casellina & Gregorio Guidi, 2012. "Inside the labyrinth of Basel risk-weighted assets: how not to get lost," Questioni di Economia e Finanza (Occasional Papers) 132, Bank of Italy, Economic Research and International Relations Area.
    19. Eric Gustin & Patrick Van Roy, 2014. "The role of internal models in regulatory capital requirements: a comparison of Belgian banks’ credit risk parameters," Financial Stability Review, National Bank of Belgium, vol. 12(1), pages 141-151, June.
    20. Ms. Sofiya Avramova & Mrs. Vanessa Le Lesle, 2012. "Revisiting Risk-Weighted Assets," IMF Working Papers 2012/090, International Monetary Fund.
    21. Michael Brei & Leonardo Gambacorta, 2016. "Are bank capital ratios pro-cyclical? New evidence and perspectives," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 31(86), pages 357-403.
    22. Mr. Martin Cihak & Mr. Heiko Hesse, 2007. "Cooperative Banks and Financial Stability," IMF Working Papers 2007/002, International Monetary Fund.
    23. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    24. Miss Sonali Das & Mr. Amadou N Sy, 2012. "How Risky Are Banks' Risk Weighted Assets? Evidence From the Financial Crisis," IMF Working Papers 2012/036, International Monetary Fund.
    25. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    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. Thomas L. Hogan, 2021. "A Review of the Regulatory Impact Analysis of Risk-Based Capital and Related Liquidity Rules," JRFM, MDPI, vol. 14(1), pages 1-29, January.
    2. Chronopoulos, Dimitris K. & Wilson, John O.S. & Yilmaz, Muhammed H., 2023. "Regulatory oversight and bank risk," Journal of Financial Stability, Elsevier, vol. 64(C).
    3. Liu, Cai, 2021. "The IRB model, bank regulatory arbitrage, and the Eurozone crisis," Journal of International Money and Finance, Elsevier, vol. 116(C).
    4. Harkin, S.M. & Mare, D.S. & Crook, J.N., 2020. "Independence in bank governance structure: Empirical evidence of effects on bank risk and performance," Research in International Business and Finance, Elsevier, vol. 52(C).
    5. Merikas, Andreas & Merika, Anna & Penikas, Henry I. & Surkov, Mikhail A., 2020. "The Basel II internal ratings based (IRB) model and the transition impact on the listed Greek banks," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    6. Stepankova, Barbora & Teply, Petr, 2023. "Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 154(C).
    7. Burkhard Raunig & Michael Sigmund, 2022. "The ECB Single Supervisory Mechanism: Effects on Bank Performance and Capital Requirements (Burkhard Raunig, Michael Sigmund)," Working Papers 244, Oesterreichische Nationalbank (Austrian Central Bank).
    8. Schlam, Carina & Woyand, Corinna, 2023. "The rollout of internal credit risk models: Implications for the novel partial-use philosophy," Discussion Papers 07/2023, Deutsche Bundesbank.
    9. Clark, Brian & Ebrahim, Alireza, 2022. "Risk shifting and regulatory arbitrage: Evidence from operational risk," Journal of Financial Stability, Elsevier, vol. 58(C).
    10. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    11. Böhnke, Victoria & Ongena, Steven & Paraschiv, Florentina & Reite, Endre J., 2024. "Back to the roots of internal credit risk models: Does risk explain why banks' risk-weighted asset levels converge over time?," Discussion Papers 02/2024, Deutsche Bundesbank.
    12. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Matarrese, Marco Maria, 2022. "The Determinants of Risk Weighted Asset in Europe," MPRA Paper 112924, University Library of Munich, Germany.
    13. Sara Longo & Antonio Parbonetti & Amedeo Pugliese, 2022. "Investors’ expectations around quantitative easing: does liquidity injection affect European banks equally?," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 26(3), pages 957-996, September.
    14. Giuliana Birindelli & Paola Ferretti & Giovanni Ferri & Marco Savioli, 2022. "Regulatory reform and banking diversity: reassessing Basel 3," Annals of Finance, Springer, vol. 18(4), pages 429-456, December.
    15. Osmundsen, Kjartan Kloster, 2018. "Using expected shortfall for credit risk regulation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 80-93.
    16. Giovanna Paladino & Zeno Rotondi, 2020. "Banking business models and risk: Findings from the ECB's comprehensive assessment," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.
    17. Alessandro Bitetto & Paola Cerchiello & Stefano Filomeni & Alessandra Tanda & Barbara Tarantino, 2021. "Machine Learning and Credit Risk: Empirical Evidence from SMEs," DEM Working Papers Series 201, University of Pavia, Department of Economics and Management.

    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. Barucci, Emilio & Milani, Carlo, 2018. "Do European banks manipulate risk weights?," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 47-57.
    2. Hynes, Kate & Kwan, Yum K. & Foley, Anthony, 2020. "Local linkages: The interdependence of foreign and domestic firms in Ireland," Economic Modelling, Elsevier, vol. 85(C), pages 139-153.
    3. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    4. Delis, Manthos D. & Karavias, Yiannis, 2015. "Optimal versus realized bank credit risk and monetary policy," Journal of Financial Stability, Elsevier, vol. 16(C), pages 13-30.
    5. Christian Andres & André Betzer & Inga Bongard & Marc Goergen, 2019. "Dividend policy, corporate control and the tax status of the controlling shareholder," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(2), pages 157-189, June.
    6. Biørn, Erik, 2012. "The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation," Memorandum 02/2012, Oslo University, Department of Economics.
    7. González, Rosa Marina & Marrero, Gustavo A., 2012. "Induced road traffic in Spanish regions: A dynamic panel data model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 435-445.
    8. Kate Hynes & Yum K. Kwan & Anthony Foley, 2017. "Local linkages: The interdependence of foreign and domestic firms," Working Papers 201712, School of Economics, University College Dublin.
    9. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-69.
    10. Sigmund, Michael & Ferstl, Robert, 2021. "Panel vector autoregression in R with the package panelvar," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 693-720.
    11. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    12. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    13. Biørn, Erik & Han, Xuehui, 2012. "Panel Data Dynamics and Measurement Errors: GMM Bias, IV Validity and Model Fit – A Monte Carlo Study," Memorandum 27/2012, Oslo University, Department of Economics.
    14. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    15. Benoît Chèze, Julien Chevallier, Nicolas Berghmans, and Emilie Alberola, 2020. "On the CO2 Emissions Determinants During the EU ETS Phases I and II: A Plant-level Analysis Merging the EUTL and Platts Power Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 153-184.
    16. Emmi Martikainen, 2014. "Does file-sharing reduce DVD sales?," Netnomics, Springer, vol. 15(1), pages 9-31, July.
    17. Schlam, Carina & Woyand, Corinna, 2023. "The rollout of internal credit risk models: Implications for the novel partial-use philosophy," Discussion Papers 07/2023, Deutsche Bundesbank.
    18. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    19. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    20. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.

    More about this item

    Keywords

    Regulatory arbitrage; Internal rating based models; Risk weighted assets dispersion;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:eee:finsta:v:33:y:2017:i:c:p:331-345. 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/jfstabil .

    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.