The Basel II Banking Regulations 147
of a murder investigation may sound sinister. This process operates within CRM (credit risk
management) where risk probabilities, default exposures and customers’ records are logged. A
detailed risk map of the customer’s current risk position, plus probabilistic directions, should
be drafted for banks.
Business counter-party profiling takes in the whole range of risk appetites, from the con-
servative to the wildly speculative. Another CRM (customer relationship management) or a
detailed KYC (know-your-customer) process will further spotlight the customer’s track per-
formance. Basel II offers incentives for identifying losses and knowing your wise owl to the
thieving magpie. Profiling of past risk events will form part of the loss database under Basel II
to offer forecasting potential. This is similar to the VaR principle of using a historic dataset to
predict the future. The Basel II Accord assumes that in operational risk, past errors and losses
can be a guide to the future using the loss database. History repeats itself.
No standard set of business scenarios will fit the bill for any one institution. There will
be different reasons why banks lose money. Furthermore, there will most likely be different
categorisation money for the same case of why a bank lost. Standardisation will be tough to
enforce across all banks, but the regulators will try to advise.
Compliance with regulation has now become more worthwhile. Basel estimates a 6 % drop
in capital reserves for a large EU bank that wishes to manage its credit risk at the advanced
AIRB level. A similar large EU bank aiming to achieve the lower standardised level on its core
portfolios will most likely pay an additional 6 % capital charge.
3
Nevertheless, there will be some groups who will feel aggrieved that Basel II punishes
them unfairly. For example, the EU leasing industry is probably faced with a 6 % capital
requirement, derived from a gamma (γ) risk weight of 75 % multiplied by the 8 % capital ratio.
The Basel II documentation implies a probability of default (PD) in the 5 % to 25 % region,
which is particularly high. The empirical research by the leasing industry indicates that the PD
is realistically nearer 3 %.
This is because physical collateral assets such as real estate, cars, trucks and plant machinery
have a long-established time-series for developing financial control skills. Understanding of the
specific industrial sector, plus the option for securing the lessor’s assets through repossession,
means that default risk is low. External banking regulators have given little consideration for
these risk mitigation factors, so the leasing industry becomes harshly treated.
4
The regulator’s seal of good housekeeping is worth winning under the new rules. The Basel II
Accord recognises that levels of risk management skills should rise commensurately with
lowering capital reserve limits as an encouragement. Fines and punishment of higher capital
limits rise to the tipping point of where the pain becomes overbearing. Thus, the probability of
being detected by better supervision and monitoring, together with the financial fines impact,
make compliance an activity that creates return on investment.
5
Basel II has to be well designed for every bank so that regulatory capital will be commen-
surate with their risks. The worst-case scenario is that Basel II will misallocate capital and
increase regulatory reporting constraints. Market risk and credit risk may demand more reg-
ulatory capital, but more administrative aggravation will hinder current business lines within
some banks. Local supervisors would have to be more cognisant of specific industrial needs
before applying capital charges in full.
3
Quantitative Impact Study 3, Basel Committee on Banking Supervision, 5 May 2003.
4
Joint Position Paper, Leaseurope, June 2003.
5
Quantitative Impact Study QIS 2.5, Basel Committee on Banking Supervision, 2002.