• DocumentCode
    498889
  • Title

    An entropy-GRA model for financial risk evaluation—A case study of listed enterprises in baoding

  • Author

    Qiao, Hong ; Dong, Xue-Chen

  • Author_Institution
    Bus. Sch., Agric. of Hebei Univ., Baoding, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1350
  • Lastpage
    1354
  • Abstract
    Financial risk is the most synthetic form of business crisis and financial risk evaluation has been a widely and continually studied topic in the field of corporate finance. The purpose of this study is to evaluate the financial soundness by using the entropy-GRA model. This study constructed an efficient financial risk evaluation model and showed that the grey system theory proposed by the study is to supplement the limitations of using traditional statistic methods and it´s more suitable to evaluate the financial risk of business. The study used four financial indicators to classify eleven items of financial ratios as research variables through entropy to determine the weight and grey relational analysis (GRA) to find the significant financial ratio variables affecting the financial risk of listed enterprises in Baoding.
  • Keywords
    economic indicators; entropy; financial management; grey systems; risk analysis; statistical analysis; Baoding; business crisis; corporate finance; entropy-GRA model; financial indicator; financial risk evaluation; grey relational analysis; grey system theory; statistic method; Crisis management; Cybernetics; Entropy; Finance; Linear programming; Machine learning; Risk analysis; Risk management; Statistical analysis; Technological innovation; Entropy; Financial risk evaluation; GRA; Listed enterprises;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212269
  • Filename
    5212269