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Creating A Fuzzy Rule-Based Indicator For The Review Of Credit Standing

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  • Jörg Baetge
  • Christian Heitmann

Abstract

Corporate insolvencies are rising and interest-rate (and thus profit) margins associated with increasing loan volumes are declining. Banking institutions need instruments that can evaluate the credit standing and general financial situation of a company quickly and accurately. Only through the use of such instruments can shaky enterprises be identified early. In this paper, we introduce and focus on a fuzzy rule-based expert system that replicates mathematically the expert knowledge of a loan officer. Our procedure uses a computer to rapidly evaluate a company’s credit standing. We also consider the reliability of an evaluation of a firm’s financial situation, using a credit-evaluation indicator developed from the above procedure. We perform empirical tests of our credit-evaluation indicator on 8,763 actual financial statements from the manufacturing sector.

Suggested Citation

  • Jörg Baetge & Christian Heitmann, 2000. "Creating A Fuzzy Rule-Based Indicator For The Review Of Credit Standing," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 52(4), pages 318-343, October.
  • Handle: RePEc:sbr:abstra:v:52:y:2000:i:4:p:318-343
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    Cited by:

    1. Groh, Alexander P., 2004. "Risikoadjustierte Performance von Private Equity-Investitionen," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 21382, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

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