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The effects of IFRS 9 valuation model on cost of risk in commercial banks – the impact of COVID-19

Author

Listed:
  • Emil Ślązak

    (SGH Warsaw School of Economics)

  • Magdalena Skwarzec

    (SGH Warsaw School of Economics.)

Abstract

The aim of this paper is to analyse the variables determining the cost of risk in banks after the implementation of IFRS 9 with a particular focus on the COVID-19 pandemic in terms of the quality of credit portfolio. To achieve this we propose a panel research model with quarterly variables determining the cost of risk in commercial banks. The research data was taken from the domestic and European banking sector in 2018–2020 during the initial phase of the COVID-19 pandemic. We show that contrary to regulatory assumptions, procyclical tendencies with a cliff effect have not been eliminated in commercial banks under the IFRS 9 framework. In addition, we observe significant differences in the recognition of loan impairment in the domestic banks versus the EU ones under IFRS 9. However, we demonstrate that IFRS 9 did allow banks to recognise loan impairment reasonably fast in the most acute phase of the COVID-19 pandemic.

Suggested Citation

  • Emil Ślązak & Magdalena Skwarzec, 2022. "The effects of IFRS 9 valuation model on cost of risk in commercial banks – the impact of COVID-19," Bank i Kredyt, Narodowy Bank Polski, vol. 53(1), pages 47-78.
  • Handle: RePEc:nbp:nbpbik:v:53:y:2022:i:1:p:47-78
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    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. Harry Huizinga & Luc Laeven, 2019. "The Procyclicality of Banking: Evidence from the Euro Area," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 67(3), pages 496-527, September.
    3. Gabriel Jiménez & Jesús Saurina, 2006. "Credit Cycles, Credit Risk, and Prudential Regulation," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
    4. Gaffney, Edward & McCann, Fergal, 2019. "The cyclicality in SICR: mortgage modelling under IFRS 9," ESRB Working Paper Series 92, European Systemic Risk Board.
    5. Claudio Borio & Craig Furfine & Philip Lowe, 2001. "Procyclicality of the financial system and financial stability: issues and policy options," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 1-57, Bank for International Settlements.
    6. Rene Johannes & Dedy Dedy & Abdullah Muksin, 2018. "The Preparation of Banking Industry in Implementing IFRS 9 Financial Instruments (A Case Study of HSBC Holdings Plc Listed on London Stock Exchange of Year 2015 2017)," International Journal of Economics and Financial Issues, Econjournals, vol. 8(6), pages 124-136.
    7. Ellen Gaston & Mr. In W Song, 2014. "Supervisory Roles in Loan Loss Provisioning in Countries Implementing IFRS," IMF Working Papers 2014/170, International Monetary Fund.
    8. Abad, Jorge & Suarez, Javier, 2017. "Assessing the cyclical implications of IFRS 9 – a recursive model," ESRB Occasional Paper Series 12, European Systemic Risk Board.
    9. Zbigniew Korzeb & Pawel Niedziolka, 2020. "Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(2), pages 205-234, June.
    10. Beatty, Anne & Liao, Scott, 2011. "Do delays in expected loss recognition affect banks' willingness to lend?," Journal of Accounting and Economics, Elsevier, vol. 52(1), pages 1-20, June.
    11. Buesa, Alejandro & Población García, Francisco Javier & Tarancón, Javier, 2019. "Measuring the procyclicality of impairment accounting regimes: a comparison between IFRS 9 and US GAAP," Working Paper Series 2347, European Central Bank.
    12. Antonio Sánchez Serrano, 2018. "Financial stability consequences of the expected credit loss model in IFRS 9," Revista de Estabilidad Financiera, Banco de España, issue MAY.
    13. Zbigniew Korzeb & Paweł Niedziółka, 2021. "Determinants of Differentiation of Cost of Risk (CoR) among Polish Banks during COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-12, March.
    14. Robert M. Bushman & Christopher D. Williams, 2015. "Delayed Expected Loss Recognition and the Risk Profile of Banks," Journal of Accounting Research, Wiley Blackwell, vol. 53(3), pages 511-553, June.
    15. Logan Ewanchuk & Christoph Frei, 2019. "Recent Regulation in Credit Risk Management: A Statistical Framework," Risks, MDPI, vol. 7(2), pages 1-19, April.
    16. Bholat, David & Lastra, Rosa & Markose, Sheri & Miglionico, Andrea & Sen, Kallol, 2016. "Non-performing loans: regulatory and accounting treatments of assets," Bank of England working papers 594, Bank of England.
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    More about this item

    Keywords

    credit risk; cost of risk; IFRS 9; COVID-19;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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