IDEAS home Printed from https://ideas.repec.org/p/cnb/rpnrpn/2019-03.html
   My bibliography  Save this paper

The Impact of Expectations on IFRS 9 Loan Loss Provisions

Author

Listed:
  • Petr Polak
  • Jiri Panos

Abstract

This paper describes the implementation of the IFRS 9 accounting standard into a macroprudential (top-down) stress-testing framework. It sets out to present a possible way of overcoming data issues and discusses key assumptions which have an effect on the end results and which stress testers should be aware of. According to the results, macroeconomic expectations play a crucial role in the pass-through of impairment. The paper also presents evidence about the pro-cyclicality of the IFRS 9 approach.

Suggested Citation

  • Petr Polak & Jiri Panos, 2019. "The Impact of Expectations on IFRS 9 Loan Loss Provisions," Research and Policy Notes 2019/03, Czech National Bank.
    • Handle: RePEc:cnb:rpnrpn:2019/03
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/irpn/download/rpn_3_2019.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laeven, Luc & Majnoni, Giovanni, 2003. "Loan loss provisioning and economic slowdowns: too much, too late?," Journal of Financial Intermediation, Elsevier, vol. 12(2), pages 178-197, April.
    2. Andersen, Henrik, 2011. "Procyclical implications of Basel II: Can the cyclicality of capital requirements be contained?," Journal of Financial Stability, Elsevier, vol. 7(3), pages 138-154, August.
    3. Drehmann, Mathias & Sorensen, Steffen & Stringa, Marco, 2010. "The integrated impact of credit and interest rate risk on banks: A dynamic framework and stress testing application," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 713-729, April.
    4. 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.
    5. Eva Hromadkova & Oldrich Koza & Petr Polak, 2017. "The bank lending survey," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2016/2017, chapter 0, pages 115-124, Czech National Bank.
      • Eva Hromadkova & Oldrich Koza & Petr Polak & Nikol Polakova, 2018. "The Bank Lending Survey," Working Papers IES 2018/28, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2018.
    6. Tijmen Daniëls & Patty Duijm & Franka Liedorp & Dimitris Mokas, 2017. "A top-down stress testing framework for the Dutch banking sector," DNB Occasional Studies 1503, Netherlands Central Bank, Research Department.
    7. Pool, Sebastiaan & de Haan, Leo & Jacobs, Jan P.A.M., 2015. "Loan loss provisioning, bank credit and the real economy," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 124-136.
    8. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    9. Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub Seidler, 2012. "Dynamic Stress Testing: The Framework for Testing Banking Sector Resilience Used by the Czech National Bank," Working Papers 2012/11, Czech National Bank.
    10. Bellotti, Tony & Crook, Jonathan, 2012. "Loss given default models incorporating macroeconomic variables for credit cards," International Journal of Forecasting, Elsevier, vol. 28(1), pages 171-182.
    11. Gaffney, Edward & McCann, Fergal, 2019. "The cyclicality in SICR: mortgage modelling under IFRS 9," ESRB Working Paper Series 92, European Systemic Risk Board.
    12. Zidong An & João Tovar Jalles & Prakash Loungani, 2018. "How well do economists forecast recessions?," International Finance, Wiley Blackwell, vol. 21(2), pages 100-121, June.
    13. Wolfgang Reitgruber, 2014. "Methodological thoughts on expected loss estimates for IFRS 9 impairment: hidden reserves, cyclical loss predictions and LGD backtesting," Papers 1411.4265, arXiv.org, revised Aug 2015.
    14. Krüger, Steffen & Rösch, Daniel & Scheule, Harald, 2018. "The impact of loan loss provisioning on bank capital requirements," Journal of Financial Stability, Elsevier, vol. 36(C), pages 114-129.
    15. Zoltán Novotny-Farkas, 2016. "The Interaction of the IFRS 9 Expected Loss Approach with Supervisory Rules and Implications for Financial Stability," Accounting in Europe, Taylor & Francis Journals, vol. 13(2), pages 197-227, May.
    16. Mary Barth & Wayne Landsman, 2010. "How did Financial Reporting Contribute to the Financial Crisis?," European Accounting Review, Taylor & Francis Journals, vol. 19(3), pages 399-423.
    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. Kund, Arndt-Gerrit & Rugilo, Daniel, 2023. "Does IFRS 9 increase banks’ resilience?," Working Paper Series 2792, European Central Bank.
    2. Jaimes Caruana, 2013. "Measuring Systemic Risk," Chapters, in: Andreas Dombret & Otto Lucius (ed.), Stability of the Financial System, chapter 9, Edward Elgar Publishing.
    3. Fatouh, Mahmoud & Giansante, Simone, 2023. "The cyclicality of bank credit losses and capital ratios under expected loss model," Bank of England working papers 1013, Bank of England.
    4. Robert J. Powell & Duc H. Vo, 2020. "A Comprehensive Stability Indicator for Banks," Risks, MDPI, vol. 8(1), pages 1-15, February.
    5. Bakoush, Mohamed & Gerding, Enrico & Mishra, Tapas & Wolfe, Simon, 2022. "An integrated macroprudential stress test of bank liquidity and solvency," Journal of Financial Stability, Elsevier, vol. 60(C).
    6. Suarez, Javier & ,, 2018. "The Procyclicality of Expected Credit Loss Provisions," CEPR Discussion Papers 13135, C.E.P.R. Discussion Papers.
    7. Noor Hashim & Weijia Li & John O'Hanlon, 2019. "Reflections on the development of the FASB’s and IASB’s expected-loss methods of accounting for credit losses," Accounting and Business Research, Taylor & Francis Journals, vol. 49(6), pages 682-725, September.
    8. Krüger, Steffen & Rösch, Daniel & Scheule, Harald, 2018. "The impact of loan loss provisioning on bank capital requirements," Journal of Financial Stability, Elsevier, vol. 36(C), pages 114-129.
    9. Gaffney, Edward & McCann, Fergal, 2019. "The cyclicality in SICR: mortgage modelling under IFRS 9," ESRB Working Paper Series 92, European Systemic Risk Board.
    10. Thamayanthi Chellathurai, 2017. "Probability Density Of Recovery Rate Given Default Of A Firm’S Debt And Its Constituent Tranches," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-34, June.
    11. Morais, Bernardo & Ormazabal, Gaizka & Peydro, J.L. & Roa, Monica & Sarmiento Paipilla, Miguel, 2020. "Forward Looking Loan Provisions : Credit Supply and Risk-Taking," Other publications TiSEM fe99a48f-f94a-41d8-bf3f-3, Tilburg University, School of Economics and Management.
    12. Lubberink, Martien, 2014. "A Primer on Regulatory Bank Capital Adjustments," MPRA Paper 55290, University Library of Munich, Germany.
    13. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    14. Claudio Borio & Mathias Drehmann, 2011. "Toward an Operational Framework for Financial Stability: “Fuzzy” Measurement and Its Consequences," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 4, pages 063-123, Central Bank of Chile.
    15. Apergis, Emmanuel & Apergis, Iraklis & Apergis, Nicholas, 2019. "A new macro stress testing approach for financial realignment in the Eurozone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 52-80.
    16. Jérémy Leymarie & Christophe Hurlin & Antoine Patin, 2018. "Loss Functions for LGD Models Comparison," Post-Print hal-01923050, HAL.
    17. Degryse, Hans & Huylebroek, Cédric, 2023. "Fiscal support and banks’ loan loss provisions during the COVID-19 crisis," Journal of Financial Stability, Elsevier, vol. 67(C).
    18. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2012. "Assessing the systemic risk of a heterogeneous portfolio of banks during the recent financial crisis," Journal of Financial Stability, Elsevier, vol. 8(3), pages 193-205.
    19. Mr. Dimitri G Demekas, 2015. "Designing Effective Macroprudential Stress Tests: Progress So Far and the Way Forward," IMF Working Papers 2015/146, International Monetary Fund.
    20. Bernd Engelmann & Ha Pham, 2020. "Measuring the Performance of Bank Loans under Basel II/III and IFRS 9/CECL," Risks, MDPI, vol. 8(3), pages 1-21, September.

    More about this item

    Keywords

    IFRS 9; impairments; loan loss provisions; macroprudential policy; stress testing;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:cnb:rpnrpn:2019/03. 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: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.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.