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Measurement Model of Project Risks of Commercial Banks Based on Combination Weighting

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Zhan-jiang Li

    (Dalian University of Technology
    Inner Mongolia Agricultural University)

  • Guo-tai Chi

    (Dalian University of Technology)

  • Zhan-dong Xu

    (Dalian University of Technology
    Northeast University of Finance and Economic)

Abstract

How to utilize the limited risk information to measure the project risk is an urgent problem to be solved when commercial banks do not have the ability to master all specific information of the project. This paper uses five risk elements including government risk, industry risk, policy risk, investment risk and credit risk to reflect the project risk, and constructs measure model of the project risk when the commercial banks can not fully grasp the project information. The characteristic of this paper is to use combination weighting based on G1 and Maximizing Deviation method to measure the important degree of risk elements, further to solve measure problem of business project risks in the case of the limited project information. The results show that the important degree of the project risk is listed in descending order: government risk, investment risk, credit risk, policy risk, industry risk.

Suggested Citation

  • Zhan-jiang Li & Guo-tai Chi & Zhan-dong Xu, 2013. "Measurement Model of Project Risks of Commercial Banks Based on Combination Weighting," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 499-509, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-40072-8_49
    DOI: 10.1007/978-3-642-40072-8_49
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    More about this item

    Keywords

    Combination weighting; G1; Maximizing deviation; Project risk; Risk elements;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

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