Rating Models and Validation - Oesterreichische Nationalbank
Rating Models and Validation - Oesterreichische Nationalbank
Rating Models and Validation - Oesterreichische Nationalbank
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The parameters required to calculate the option price (¼ risk premium) are<br />
the duration of the observation period as well as the following: 36<br />
— Economic value of the debt 37<br />
— Economic value of the equity<br />
— Volatility of the assets.<br />
Due to the required data input, the option pricing model cannot even be<br />
considered for applications in retail business. 38 However, generating the data<br />
required to use the option pricing model in the corporate segment is also<br />
not without its problems, for example because the economic value of the company<br />
cannot be estimated realistically on the basis of publicly available information.<br />
For this purpose, in-house planning data are usually required from the<br />
company itself. The companyÕs value can also be calculated using the discounted<br />
cash flow method. For exchange-listed companies, volatility is frequently estimated<br />
on the basis of the stock priceÕs volatility, while reference values specific<br />
to the industry or region are used in the case of unlisted companies.<br />
In practice, the option pricing model has only been implemented to a limited<br />
extent in German-speaking countries, mainly as an instrument of credit<br />
assessment for exchange-listed companies. 39 However, this model is also being<br />
used for unlisted companies as well.<br />
As a credit default on the part of the company is possible at any time during<br />
the observation period (not just at the end), the risk premium <strong>and</strong> default rates<br />
calculated with a European-style 40 option pricing model are conservatively<br />
interpreted as the lower limits of the risk premium <strong>and</strong> default rate in practice.<br />
Qualitative company valuation criteria are only included in the option pricing<br />
model to the extent that the market prices used should take this information<br />
(if available to the market participants) into account. Beyond that, the option<br />
pricing model does not cover qualitative criteria. For this reason, the application<br />
of option pricing models should be restricted to larger companies for which<br />
one can assume that the market price reflects qualitative factors sufficiently (cf.<br />
section 4.2.3).<br />
3.3.2 Cash Flow (Simulation) <strong>Models</strong><br />
Cash flow (simulation) models are especially well suited to credit assessment for<br />
specialized lending transactions, as creditworthiness in this context depends primarily<br />
on the future cash flows arising from the assets financed. In this case, the<br />
transaction itself (<strong>and</strong> not a specific borrower) is assessed explicitly, <strong>and</strong> the<br />
result is therefore referred to as a transaction rating.<br />
Cash flow-based models can also be presented as a variation on option pricing<br />
models in which the economic value of the company is calculated on the<br />
basis of cash flow.<br />
36 The observation period is generally one year, but longer periods are also possible.<br />
37 For more information on the fundamental circular logic of the option pricing model due to the mutual dependence of the market<br />
value of debt <strong>and</strong> the risk premium as well as the resolution of this problem using an iterative method, see JANSEN, S, Ertragsund<br />
volatilita‹tsgestu‹tzte Kreditwu‹rdigkeitspru‹fung, p. 75 (footnote) <strong>and</strong> VARNHOLT B., Modernes Kreditrisikomanagement, p.<br />
107 ff. as well as the literature cited there.<br />
38 Cf. SCHIERENBECK, H., Ertragsorientiertes Bankmanagement Vol. 1.<br />
39 Cf. SCHIERENBECK, H., Ertragsorientiertes Bankmanagement Vol. 1.<br />
40 In contrast to an American option, which can be exercised at any time during the option period.<br />
<strong>Rating</strong> <strong>Models</strong> <strong>and</strong> <strong>Validation</strong><br />
Guidelines on Credit Risk Management 49