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Corporate credit-risk evaluation system: Integrating explicit and implicit financial performances

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  • Zhang, Faming
  • Tadikamalla, Pandu R.
  • Shang, Jennifer

Abstract

Traditional credit-risk evaluation methods focus mainly on static credit evaluation and rarely consider incentive factors. This paper proposes a comprehensive method of credit-risk evaluation based on dynamic incentives. First, an “explicit incentive” model is constructed based on the firm's current financial standing, and an “implicit incentive” model is subsequently developed focusing on the trend of the firm's past performance. Geometric (or arithmetic) procedures are applied to integrate the two models. To validate the proposed approach, we apply it to 12 publicly traded companies, each with 24 quarters and 20 indicators. We find the proposed integrated evaluation model outperforms the conventional models by better reflecting the key credit-risk management concept of “motivation and guidance”.

Suggested Citation

  • Zhang, Faming & Tadikamalla, Pandu R. & Shang, Jennifer, 2016. "Corporate credit-risk evaluation system: Integrating explicit and implicit financial performances," International Journal of Production Economics, Elsevier, vol. 177(C), pages 77-100.
    • Handle: RePEc:eee:proeco:v:177:y:2016:i:c:p:77-100
    DOI: 10.1016/j.ijpe.2016.04.012
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    Cited by:

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    2. Pranith Kumar Roy & Krishnendu Shaw, 2021. "A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    3. Ioannis E. Tsolas, 2021. "Firm Credit Scoring: A Series Two-Stage DEA Bootstrapped Approach," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    4. Maria A. S. Xavier & Fernando A. F. Ferreira & José P. Esperança, 2021. "An intuition-based evaluation framework for social credit applications," Annals of Operations Research, Springer, vol. 296(1), pages 571-590, January.
    5. Pranith K. Roy & Krishnendu Shaw, 2023. "A credit scoring model for SMEs using AHP and TOPSIS," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 372-391, January.

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