A particular focus has been put on analysing the impact of the pandemic and the compensating public measures on the IRB models.
      
    
    
      The European Banking Authority (EBA) published today its 
Reports on the annual market and credit risk benchmarking exercises. 
These exercises aim at monitoring the consistency of risk weighted 
assets (RWAs) across all EU institutions authorised to use internal 
approaches for the calculation of capital requirements. Regarding market
 risk, for the majority of participating banks, the results confirm low 
dispersion in the initial market valuation (IMVs) and increased 
dispersion in the VaR submissions. For credit risk, the variability of 
RWA remained rather stable, despite the pandemic and banks’ efforts to 
re-develop or re-calibrate their models to comply with the policies set 
out in the EBA internal rating-based (IRB) roadmap.  
Credit Risk exercise
This year’s Report provides an in-depth analysis of the observed and 
potential impact of the COVID-19 pandemic. It includes theoretical 
analysis on where potential impact is likely to be observed and 
empirical analysis on the development of average RWs, probabilities of 
default (PDs) and default rates (DRs) between 31 December 2019 and 31 
December 2020 for the different benchmarking portfolios. The theoretical
 assessment concludes that heterogeneity of the impact is expected not 
only due to the different extent to which the underlying loans 
(obligors) are affected by the pandemic but also because of the 
institutions’ relevant processes for assigning and reviewing IRB 
ratings. The empirical analysis indicates that the observed decrease of 
average RW and PDs for high-default (HP) portfolios is mostly due to the
 re-estimation of PDs conducted in 2020. For qualified revolving 
exposures (RQRR) slight migrations of retail obligors/exposures towards 
better rating grades are observed, while for SME corporates the decrease
 of RW is likely to be related to the Capital Requirements Regulation 
(CRR) quick fix. Lastly, for retail SME portfolios, the observed 
decrease of average default rates may indicate a potential 
overcompensation of the expected impact of the economic crisis by public
 measures and moratoria.
The Report also includes an analysis of the developments of both 
average PDs and average default rates between end 2019 and end 2020, 
which may be due to the IRB roadmap implementation.
As usual, the Report contains a section on the competent authorities’
 assessment of the deviations from the benchmarks. For HDP portfolios, 
this assessment underpins the results obtained from the empirical 
analysis and confirms that some deviations are related to the COVID-19 
pandemic. The focus analysis is complemented with an extensive chart 
pack providing the analysis of the benchmarking metrics.
Market Risk exercise                         
The Report presents the results of the 2021 supervisory benchmarking 
and summarises the conclusions drawn from a hypothetical portfolio 
exercise (HPE) conducted by the EBA during 2020/21.
The 2021 exercise considered the same instruments applied in 2019 and
 2020, which are mostly plain vanilla. This stability has facilitated 
the understanding of the benchmarking portfolio and contributed to an 
observed reduction in overall dispersion in the instruments booking. 
Regarding the single risk measures, the overall variability for value
 at risk (VaR) across all asset classes, except for credit spread, is 
slightly lower than the observed variability for stressed VaR (sVaR) 
(27% and 31% respectively, compared with 18% and 29% in 2020). More 
complex measures, such as incremental risk charge (IRC) show a higher 
level of dispersion (43% compared with 49% in 2020).
The increase of the VaR dispersion for 2021 was also analysed 
separately in order to explain the impact of the increased market 
volatility followed by the COVID-19 outbreak. 
Competent authorities also complemented a questionnaire on banks 
participating in the exercise to supplement the quantitative analysis. 
Although the majority of the causes were identified and actions put in 
place to reduce the unwanted variability of the hypothetical RWAs, the 
effectiveness of these actions can be evaluated only with ongoing 
analysis.
EBA
      
      
      
      
        © EBA
     
      
      
      
      
      
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