#1 2020-08-26 13:56:56

Rocoubreriodo
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Registered: 2020-08-13
Posts: 214

In terms of the impact of PD input floors

Background The now-completed second stage of the Basel III framework (“Basel IV”) proposes a number of reforms that will make banks more resilient and improve the consistency and comparability of the calculation of risk-weighted assets (RWAs) across banks.
Given the backdrop of the previous global financial crisis, regulators took it as their central task to create a new framework that increases credibility of and mitigates risks within the international banking system.
This article takes a careful look at the new Basel IV “input floors” for the probability of default (PD input floors) and the loss given default (LGD input floors) in IRBA models.
These are key dimensions which are used to limit excessive RWA variability resulting from banks’ use of internal risk-based approaches (IRBA).
What are input floors and why are they used.
The idea of input floors is based on the nature of the historical statistical data used in the models.
The lower a parameter value is, e.g.
at a very low probability of default of 0.03%, the greater the number of observations a bank needs to statistically model and validate that parameter.
If the number of observations is too low, it means that there is a significant risk in which the probability and extent of the associated risks for the bank are underestimated.
It was precisely in their analyses of the causes of the financial crisis that regulatory authorities found that banks do not always have sufficient historical default observations.

Among the many aspects of the overall framework of Basel III

supervisors believe that input floors are an important aspect to increase the robustness and risk sensitivity of the IRBA models used in RWA calculations.
The Basel IV framework therefore proposes to increase the starting point for the risk components PD and LGD.
What is changing and what is the impact.
The Basel IV framework largely sets the PD input floor for exposure classes at 5 basis points (0.05%).
This is an increase from the input floor of 3 basis points (0.03%) set in the Basel II framework.
It also sets LGD input floors at values ranging from 25% to 50% for the unsecured part of a credit exposure, and from 0% to 15% for the secured part of the credit exposure.
Influence of PD input floors In order to gauge the expected impact of the Basel IV reforms, the European Banking Authority (EBA) conducted a survey of the leading European financial institutions.
In terms of the impact of PD input floors.

The study found that the greatest impact on RWA will be on corporate loans

particularly loans to financial institutions and large corporate customers (Figure 1).
This may seem counterintuitive at first glance, .

As these risks were considered fundamentally low under Basel II

However, given the small sample size of the historical data behind each of these asset classes and combined with high exposure allocation, this result seems plausible and consistent with the reforms proposed by regulators.
Figure 1: Percentage change in IRBA SVA per exposure class without PD input floor (relative to total current IRBA SVA) Note: Based on a sample of 48 banks Sources: EBA 2018-Q2 QIS data and EBA calculations Impact of LGD input floors In the same study, the results suggest that LGD input floors for IRBA positions will be even more significant.
In particular, the impact of the proposed LGD input floors on RWA will be particularly noticeable for exposures to specialist banks, corporate SMEs, small and medium-sized enterprises and most categories of retail exposures (Figure 2).
Since experience shows that LGD modelling is generally based on poorer data quality than PD modelling, .

The generally higher impact of LGD input floors on RWA results seems feasible

Figure 2: Percentage change in IRBA SHE per exposure class without LGD input floor (relative to the current IRBA SHE of the exposure class) Note: Results are subject to the F-IRB approach under the revised framework so that there is no difference in impact for these portfolios due to the LGD input floor.
Specialist credit exposures under slotting are not subject to the PD/LGD parameters Sources: EBA 2018-Q2 QIS data and EBA calculations Outlook The EBA study has shown that the IRBA input floors for PD and LGD will have a significant impact on RWA.
The participating banks have clearly indicated increased RWA values based on the PD and LGD input floors.
In this respect, it appears that the regulatory authorities will achieve their goal of increasing RWA results.
However, this situation may lead banks to limit the impact of regulation by restructuring their portfolios.
For example, the expected increase in input floors could potentially increase the risks among banks if they decide to include larger risks in their books to achieve better returns but similar capital requirements based on the new input floors.
Ultimately, we will all see the decisions of individual banks when Basel IV comes into force on January 1, 2022.
But already now we can help financial institutions to make a strategic decision on the partial application of CRSA/IRBA, to redevelop internal models, to improve early warning systems and to optimize the separation power and the result of RWA by portfolio restructuring.

Many thanks to the co-author Christopher Beck

Capgemini Invent addresses the CxO data strategy and supports its clients in data-driven value creation.
With Inventive Finance.

Risk & Compliance (Inventive FRC) we master the challenges of the finance

risk, and compliance function in the financial sector.
This blog article focuses on credit risk.
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