IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v8y2020i3p93-d407903.html
   My bibliography  Save this article

Measuring the Performance of Bank Loans under Basel II/III and IFRS 9/CECL

Author

Listed:
  • Bernd Engelmann

    (Faculty of Banking and Finance, Ho Chi Minh City Open University, Ho Chi Minh City 70000, Vietnam
    Current address: 35-37 Ho Hao Hon, Dist 1, Ho Chi Minh City 70000, Vietnam.
    These authors contributed equally to this work.)

  • Ha Pham

    (Faculty of Banking and Finance, Ho Chi Minh City Open University, Ho Chi Minh City 70000, Vietnam
    These authors contributed equally to this work.)

Abstract

In the last two decades, both internal and external risk management of banks have undergone significant developments. Banking supervision encourages banks to use a risk-based approach for computing minimum regulatory capital. Accounting rules have been tightened requiring more timely loss reserves for impaired loans. In this article, we propose a comprehensive scheme for calculating the profitability of a loan that could be used both for setting risk-based interest rates when originating a loan and for accurately determining the profitability of existing clients. The scheme utilizes the credit models developed for regulatory purposes and takes the impact of regulation on loan performance into account. We show that accounting loan loss provisions cannot be applied in a performance measurement scheme because they do not reflect the true economic loss. In addition, we demonstrate that it is crucial to measure loan performance over the full life cycle of a loan. Restricting profitability measurement to a time horizon of one year as often observed in practice could be misleading. Although our focus is on profitability measurement, the framework could be applied in a wider context, i.e., for macroeconomic stress tests, bank balance sheet projections, capital management, or evaluating the impact of securitizing parts of a bank’s loan portfolio.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jrisks:v:8:y:2020:i:3:p:93-:d:407903
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/8/3/93/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-9091/8/3/93/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward Zaik & John Walter & Gabriela Retting & Christopher James, 1996. "Raroc At Bank Of America: From Theory To Practice," Journal of Applied Corporate Finance, Morgan Stanley, vol. 9(2), pages 83-93, June.
    2. Rafael Repullo & Javier Suarez, 2013. "The Procyclical Effects of Bank Capital Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 452-490.
    3. Suarez, Javier & ,, 2018. "The Procyclicality of Expected Credit Loss Provisions," CEPR Discussion Papers 13135, C.E.P.R. Discussion Papers.
    4. 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.
    5. Gordy, Michael B. & Howells, Bradley, 2006. "Procyclicality in Basel II: Can we treat the disease without killing the patient?," Journal of Financial Intermediation, Elsevier, vol. 15(3), pages 395-417, July.
    6. Altavilla, Carlo & Boucinha, Miguel & Peydró, José-Luis, 2018. "Monetary policy and bank profitability in a low interest rate environment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 33(96), pages 531-586.
    7. Jesús Saurina & Carlos Trucharte, 2007. "An Assessment of Basel II Procyclicality in Mortgage Portfolios," Journal of Financial Services Research, Springer;Western Finance Association, vol. 32(1), pages 81-101, October.
    8. Repullo, Rafael & Suarez, Javier, 2004. "Loan pricing under Basel capital requirements," Journal of Financial Intermediation, Elsevier, vol. 13(4), pages 496-521, October.
    9. 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.
    10. Loterman, Gert & Brown, Iain & Martens, David & Mues, Christophe & Baesens, Bart, 2012. "Benchmarking regression algorithms for loss given default modeling," International Journal of Forecasting, Elsevier, vol. 28(1), pages 161-170.
    11. Birge, John R. & Júdice, Pedro, 2013. "Long-term bank balance sheet management: Estimation and simulation of risk-factors," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4711-4720.
    12. Stoughton, Neal M. & Zechner, Josef, 2007. "Optimal capital allocation using RAROC(TM) and EVA(R)," Journal of Financial Intermediation, Elsevier, vol. 16(3), pages 312-342, July.
    13. Alexander Braun & Hato Schmeiser & Florian Schreiber, 2018. "Return on Risk-Adjusted Capital Under Solvency II: Implications for the Asset Management of Insurance Companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 456-472, July.
    14. M Malik & L C Thomas, 2010. "Modelling credit risk of portfolio of consumer loans," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 411-420, March.
    15. Ellen Tobback & David Martens & Tony Van Gestel & Bart Baesens, 2014. "Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(3), pages 376-392, March.
    16. 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.
    17. J Banasik & J N Crook & L C Thomas, 1999. "Not if but when will borrowers default," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(12), pages 1185-1190, December.
    18. Andreeva, Galina & Ansell, Jake & Crook, Jonathan, 2007. "Modelling profitability using survival combination scores," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1537-1549, December.
    19. Busch, Ramona & Drescher, Christian & Memmel, Christoph, 2017. "Bank stress testing under different balance sheet assumptions," Discussion Papers 07/2017, Deutsche Bundesbank.
    20. Müge Adalet McGowan & Dan Andrews & Valentine Millot & Thorsten BeckManaging Editor, 2018. "The walking dead? Zombie firms and productivity performance in OECD countries," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(96), pages 685-736.
    21. Mr. Christian Schmieder & Maher Hasan & Mr. Claus Puhr, 2011. "Next Generation Balance Sheet Stress Testing," IMF Working Papers 2011/083, International Monetary Fund.
    22. Stein, Roger M., 2005. "The relationship between default prediction and lending profits: Integrating ROC analysis and loan pricing," Journal of Banking & Finance, Elsevier, vol. 29(5), pages 1213-1236, May.
    23. Stoughton, Neal & Zechner, Josef, 1999. "Optimal Capital Allocation Using RAROC And EVA," CEPR Discussion Papers 2344, C.E.P.R. Discussion Papers.
    24. Bernd Engelmann & Robert Rauhmeier (ed.), 2011. "The Basel II Risk Parameters," Springer Books, Springer, number 978-3-642-16114-8, December.
    25. Bernd Engelmann & Ha Pham, 2020. "A Raroc Valuation Scheme for Loans and Its Application in Loan Origination," Risks, MDPI, vol. 8(2), pages 1-20, June.
    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. Mirza, Nawazish & Umar, Muhammad & Afzal, Ayesha & Firdousi, Saba Fazal, 2023. "The role of fintech in promoting green finance, and profitability: Evidence from the banking sector in the euro zone," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 33-40.

    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. Bernd Engelmann & Ha Pham, 2020. "A Raroc Valuation Scheme for Loans and Its Application in Loan Origination," Risks, MDPI, vol. 8(2), pages 1-20, June.
    2. Dimitris Andriosopoulos & Michalis Doumpos & Panos M. Pardalos & Constantin Zopounidis, 2019. "Computational approaches and data analytics in financial services: A literature review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1581-1599, October.
    3. Li, Zhiyong & Li, Aimin & Bellotti, Anthony & Yao, Xiao, 2023. "The profitability of online loans: A competing risks analysis on default and prepayment," European Journal of Operational Research, Elsevier, vol. 306(2), pages 968-985.
    4. Hałaj, Grzegorz, 2013. "Optimal asset structure of a bank - bank reactions to stressful market conditions," Working Paper Series 1533, European Central Bank.
    5. Joël Bessis, 2009. "Risk Management in Banking," Post-Print hal-00494876, HAL.
    6. Markus Behn & Rainer Haselmann & Paul Wachtel, 2016. "Procyclical Capital Regulation and Lending," Journal of Finance, American Finance Association, vol. 71(2), pages 919-956, April.
    7. 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.
    8. Tong, Edward N.C. & Mues, Christophe & Brown, Iain & Thomas, Lyn C., 2016. "Exposure at default models with and without the credit conversion factor," European Journal of Operational Research, Elsevier, vol. 252(3), pages 910-920.
    9. Glocker, Christian, 2019. "Do reserve requirements reduce the risk of bank failure?," MPRA Paper 95634, University Library of Munich, Germany.
    10. Repullo, Rafael, 2013. "Cyclical adjustment of capital requirements: A simple framework," Journal of Financial Intermediation, Elsevier, vol. 22(4), pages 608-626.
    11. Rafael Repullo & Javier Suarez, 2013. "The Procyclical Effects of Bank Capital Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 452-490.
    12. Ambrocio, Gene & Jokivuolle, Esa, 2017. "Should bank capital requirements be less risk-sensitive because of credit constraints?," Bank of Finland Research Discussion Papers 10/2017, Bank of Finland.
    13. Mierzejewski, Fernando, 2008. "The Allocation of Economic Capital in Opaque Financial Conglomerates," MPRA Paper 9432, University Library of Munich, Germany.
    14. Hurlin, Christophe & Leymarie, Jérémy & Patin, Antoine, 2018. "Loss functions for Loss Given Default model comparison," European Journal of Operational Research, Elsevier, vol. 268(1), pages 348-360.
    15. Repullo, Rafael & Suarez, Javier, 2008. "The Procyclical Effects of Basel II," CEPR Discussion Papers 6862, C.E.P.R. Discussion Papers.
    16. Kulpmann, Mathias, 2000. "Incentives in an international bank," Journal of Multinational Financial Management, Elsevier, vol. 10(3-4), pages 481-493, December.
    17. Glocker, C., 2021. "Reserve requirements and financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    18. Rainer Baule & Christian Tallau, 2016. "Revisiting Basel risk weights: cross-sectional risk sensitivity and cyclicality," Journal of Business Economics, Springer, vol. 86(8), pages 905-931, November.
    19. Kang, Woo-Young & Poshakwale, Sunil, 2019. "A new approach to optimal capital allocation for RORAC maximization in banks," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 153-165.
    20. Huang, Chao & Moreira, Fernando & Archibald, Thomas & Yu, Kaidong & Zhang, Xuan, 2023. "The impact of a systemic tax on bank capital holdings, optimal capital requirements and social welfare," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 124-142.

    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:gam:jrisks:v:8:y:2020:i:3:p:93-:d:407903. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.