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Abstract
With the introduction of expected credit loss-based impairment methodology, banks’ stress testing programmes must include forecasts of stressed impairment losses as an important component in the firm-wide stress testing programmes. The forecasts of stressed impairment losses comprise projected incurred loss up to the forecasting horizon of the stress test, and the regular expected credit loss after the stress test horizon. This paper analyses the effect of IFRS 9 stage transfer on the stressed impairment forecasts. For a sample state transition model, portfolio and stage transfer rules, it is shown that the stage transfer can have significant effects on the staged impairment forecast compared to the IFRS 9 actuals (current expected credit loss). Specifically, stage 1 dominated initial portfolios can have significantly increased stressed impairments forecasts compared to the IFRS 9 actuals impairment calculation under stressed scenarios. This reflects their downside in terms of stage transfer potential to stage 2 up until forecast time. Recently downgraded or lower quality portfolios in stage 2 can have the opposite effect of decreased stressed impairments forecasts compared to the IFRS 9 actuals impairment calculation under stressed scenarios. This reflects their upside in terms of stage transfer potential to stage 1 up until forecast time. A lifetime measurement only approach for all assets (as in US CECL) ensures a direct link between actuals stressed impairment amounts and stressed impairment forecast amounts. Their difference can be attributed to the forecast new business assumptions and natural decay due to run-off. Taking into account stage transfer in impairment forecasts, we find it is more natural to analyse the stressed impairment forecast relative to a baseline scenario impairment forecast benchmark. Such an approach focuses more specifically on the macroeconomic stress effect and its impact.
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Author's Biography
Jimmy Skoglund is Principal Product Manager at SAS. He has more than 15 years’ experience developing and implementing risk methodologies, both at SAS and previously at banks. Jimmy has worked in various areas of risk management, including market, credit and liquidity risk. He holds a PhD from Stockholm School of Economics and is a regular contributor to publications in risk and finance journals.
Wei Chen is a Director of Stress Testing Solution at SAS Institute Inc. He has more than 15 years’ industry experience in risk analytics and technology for both banking and insurance. At SAS he has managed the research and development of solutions and business consulting in market, credit and liquidity risk management. Wei has published frequently in risk journals. He received his PhD, his primary research area being in financial econometric modelling, from the University of Iowa. He is a certified Financial Risk Manager (FRM).
Citation
Skoglund, Jimmy and Chen, Wei (2018, August 1). Stage transfer effect on impairment forecasts. In the Journal of Risk Management in Financial Institutions, Volume 11, Issue 3. https://doi.org/10.69554/VKBM1965.Publications LLP