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Rating Models and Validation - Oesterreichische Nationalbank

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— Market prospects are not assessed due to the smaller scale of business activities.<br />

Aside from these simplifications, the procedure applied is analogous to the<br />

one used for business owners <strong>and</strong> independent professionals who do not prepare<br />

balance sheets.<br />

Start-Ups<br />

In practice, separate rating models are not often developed for start-ups. Instead,<br />

they adapt the existing models used for corporate customers. These adaptations<br />

might involve the inclusion of a qualitative Òstart-up criterionÓ which adds a<br />

(usually heuristically defined) negative input to the rating model. It is also possible<br />

to include other soft facts or to limit the maximum rating class attained in<br />

this segment.<br />

If a separate rating model is developed for the start-up segment, it is necessary<br />

to distinguish between the pre-launch <strong>and</strong> post-launch stages, as different<br />

information will be available during these two phases.<br />

Pre-Launch Stage<br />

As quantitative data on start-ups (e.g. balance sheet <strong>and</strong> profit <strong>and</strong> loss accounts)<br />

are not yet available in the pre-launch stage, it is necessary to rely on other —<br />

mainly qualitative — data categories.<br />

The decisive factors in the future success of a start-up are the business idea<br />

<strong>and</strong> its realization in a business plan. Accordingly, assessment in this context<br />

focuses on the business ideaÕs prospects of success <strong>and</strong> the feasibility of the business<br />

plan. This also involves a qualitative assessment of market opportunities as<br />

well as a review of the prospects of the industry in which the start-up founder<br />

plans to operate. Practical experience has shown that a start-upÕs prospects of<br />

success are heavily dependent on the personal characteristics of the business<br />

owner. In order to obtain a complete picture of the business ownerÕs personal<br />

characteristics, credit reporting information (e.g. from the consumer loans register)<br />

should also be retrieved.<br />

On the quantitative level, the financing structure of the start-up project<br />

should be evaluated. This includes an analysis of the equity contributed, potential<br />

grant funding <strong>and</strong> the resulting residual financing needs. In addition, an analysis<br />

of the organizationÕs debt service capacity should be performed in order to<br />

assess whether the start-up will be able to meet future payment obligations on<br />

the basis of expected income <strong>and</strong> expenses.<br />

Post-Launch Stage<br />

As more data on the newly established enterprise are available in the post-launch<br />

stage, credit assessments should also include this information.<br />

In addition to the data requirements described for the pre-launch stage, it is<br />

necessary to analyze the following data categories:<br />

— Annual financial statements or income <strong>and</strong> expense accounts (as available)<br />

— Bank account activity data<br />

— Liquidity <strong>and</strong> revenue development<br />

— Future planning <strong>and</strong> company development<br />

<strong>Rating</strong> <strong>Models</strong> <strong>and</strong> <strong>Validation</strong><br />

Guidelines on Credit Risk Management 21

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