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Forecasting expected and unexpected losses

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  • Mikael Juselius
  • Nikola Tarashev

Abstract

Extending a standard credit-risk model illustrates that a single factor can drive both expected losses and the extent to which they may be exceeded in extreme scenarios, ie "unexpected losses". This leads us to develop a framework for forecasting these losses jointly. In an application to quarterly US data on loan charge-offs from 1985 to 2019, we find that financial-cycle indicators – notably, the debt service ratio and credit-to-GDP gap – deliver reliable real-time forecasts, signalling turning points up to three years in advance. Provisions and capital that reflect such forecasts would help reduce the procyclicality of banks' loss-absorbing resources.

Suggested Citation

  • Mikael Juselius & Nikola Tarashev, 2020. "Forecasting expected and unexpected losses," BIS Working Papers 913, Bank for International Settlements.
    • Handle: RePEc:bis:biswps:913
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    1. Acharya, Viral V., 2009. "A theory of systemic risk and design of prudential bank regulation," Journal of Financial Stability, Elsevier, vol. 5(3), pages 224-255, September.
    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. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006. "A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
    4. Iñaki Aldasoro & Claudio Borio & Mathias Drehmann, 2018. "Early warning indicators of banking crises: expanding the family," BIS Quarterly Review, Bank for International Settlements, March.
    5. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Gabriel Jiménez & Steven Ongena & José-Luis Peydró & Jesús Saurina, 2017. "Macroprudential Policy, Countercyclical Bank Capital Buffers, and Credit Supply: Evidence from the Spanish Dynamic Provisioning Experiments," Journal of Political Economy, University of Chicago Press, vol. 125(6), pages 2126-2177.
    7. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    8. Peura, Samu & Jokivuolle, Esa, 2004. "Simulation based stress tests of banks' regulatory capital adequacy," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 1801-1824, August.
    9. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    10. repec:zbw:bofrdp:2015_008 is not listed on IDEAS
    11. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    12. Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2012. "Modeling default correlation in a US retail loan portfolio," CEPR Discussion Papers 9205, C.E.P.R. Discussion Papers.
    13. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    14. Borio, Claudio & Zhu, Haibin, 2012. "Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism?," Journal of Financial Stability, Elsevier, vol. 8(4), pages 236-251.
    15. Aikman, David & Bridges, Jonathan & Hacioglu Hoke, Sinem & O’Neill, Cian & Raja, Akash, 2019. "Credit, capital and crises: a GDP-at-Risk approach," Bank of England working papers 824, Bank of England, revised 18 Oct 2019.
    16. Ghosh, Amit, 2015. "Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states," Journal of Financial Stability, Elsevier, vol. 20(C), pages 93-104.
    17. Roger Koenker, 2017. "Quantile Regression: 40 Years On," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 155-176, September.
    18. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
    19. Abad, Jorge & Suarez, Javier, 2017. "Assessing the cyclical implications of IFRS 9 – a recursive model," ESRB Occasional Paper Series 12, European Systemic Risk Board.
    20. Benjamin H Cohen & Gerald A. Edwards, Jr., 2017. "The new era of expected credit loss provisioning," BIS Quarterly Review, Bank for International Settlements, March.
    21. Claudio Borio & Philip Lowe, 2001. "To provision or not to provision," BIS Quarterly Review, Bank for International Settlements, September.
    22. 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.
    23. Eero Tölö & Helinä Laakkonen & Simo Kalatie, 2018. "Evaluating Indicators for Use in Setting the Countercyclical Capital Buffer," International Journal of Central Banking, International Journal of Central Banking, vol. 14(2), pages 51-112, March.
    24. Ryan Niladri Banerjee & Giulio Cornelli & Egon Zakrajšek, 2020. "The outlook for business bankruptcies," BIS Bulletins 30, Bank for International Settlements.
    25. Magdalena Pisa & Dennis Bams & Christian Wolff, 2012. "Modeling default correlation in a US retail loan portfolio," DEM Discussion Paper Series 12-19, Department of Economics at the University of Luxembourg.
    26. Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
    27. Ryan Niladri Banerjee & Enisse Kharroubi, 2020. "The financial vulnerabilities driving firms to the exit," BIS Quarterly Review, Bank for International Settlements, December.
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    Cited by:

    1. Martin Birn & Renzo Corrias & Christian Schmieder & Nikola Tarashev, 2023. "Banks' credit loss forecasts: lessons from supervisory data," BIS Working Papers 1125, Bank for International Settlements.

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    More about this item

    Keywords

    loss rate forecasts; cyclical turning points; expected loss provisioning; bank capital;
    All these keywords.

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • 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

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