Rating Models and Validation - Oesterreichische Nationalbank
Rating Models and Validation - Oesterreichische Nationalbank
Rating Models and Validation - Oesterreichische Nationalbank
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during the realization period. The bankÕs individual cost of equity can be used<br />
for this purpose.<br />
If an institution decides to calculate opportunity costs due to lost equity, it<br />
can include these costs in the amount of profit lost (after calculating the riskadjusted<br />
return on equity).<br />
Workout Costs<br />
In order to estimate workout costs, it is possible to base calculations on internal<br />
cost <strong>and</strong> activity accounting. Depending on how workout costs are recorded in<br />
cost unit accounting, individual transactions may be used for estimates. The<br />
costs of collateral realization can be assigned to individual transactions based<br />
on the transaction-specific dedication of collateral.<br />
When cost allocation methods are used, it is important to ensure that these<br />
methods are not applied too broadly. It is not necessary to assign costs to specific<br />
process steps. The allocation of costs incurred by a liquidation unit in the retail<br />
segment to the defaulted loans is a reasonable approach to relatively homogenous<br />
cases. However, if the legal department only provides partial support for liquidation<br />
activities, for example, it is preferable to use internal transfer pricing.<br />
In cases where the bankÕs individual cost <strong>and</strong> activity accounting procedures<br />
cannot depict the workout costs in a suitable manner, expert estimates can be<br />
used to calculate workout costs. In this context, it is important to use the basic<br />
information available from cost <strong>and</strong> activity accounting (e.g. costs per employee<br />
<strong>and</strong> the like) wherever possible.<br />
When estimating workout costs, it is advisable to differentiate on the basis of<br />
the intensity of liquidation. In this context, it is sufficient to differentiate cases<br />
using two to three categories. For each of those categories, a probability of<br />
occurrence can be determined on the basis of historical defaults. If this is not<br />
possible, the rate can be based on conservative expert estimates. The bank<br />
might also be able to assume a st<strong>and</strong>ard restructuring/liquidation intensity<br />
for certain customer <strong>and</strong>/or product types.<br />
7.5 Developing an LGD Estimation Model<br />
The procedural model for the development of an LGD estimation model consists<br />
of the following steps:<br />
1. Analysis of data availability <strong>and</strong> quality of information carriers<br />
2. Data preparation<br />
3. Selection of suitable estimation methods for individual loss parameters<br />
4. Combination of individual estimation methods to create an overall model<br />
5. <strong>Validation</strong><br />
Data availability <strong>and</strong> quality are the main limiting factors in the selection of<br />
suitable methods for LGD estimation. As a result, it is necessary to analyze the<br />
available data set before making decisions as to the type <strong>and</strong> scope of the estimation<br />
methods to be implemented. In the course of data preparation, it may<br />
also be possible to fill gaps in the data set. The quality requirements for the data<br />
set are the same as those which apply to PD estimates.<br />
Loss data analyses are frequently complemented by expert validations due to<br />
statistically insufficient data sets. A small data set is generally associated with a<br />
high degree of variance in results. Accordingly, this loss of precision in the inter-<br />
<strong>Rating</strong> <strong>Models</strong> <strong>and</strong> <strong>Validation</strong><br />
Guidelines on Credit Risk Management 157