• DocumentCode
    2079664
  • Title

    A Financial Risk Identification Matrix Model of Enterprise

  • Author

    Ziqin, Feng

  • Author_Institution
    Sch. of Manage. & Econ., North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    210
  • Lastpage
    213
  • Abstract
    Financial risk is a critical variable in forming enterprise´s financial crisis, the cyclical showing of which is an objective law undecided by the will of people. Although financial risk identification is very important to enterprise, but there is still not an effective way. Combing with matrix identification principles, this paper puts forward a matrix model for enterprise to identify its financial risks. Firstly, it divides financial risks of enterprise into three types what are financial environment-adaptation risk and financial resource-allocation risk and financial stakeholder-cooperation risk. Secondly, it explores the identification principle of three-dimensional financial risks. Thirdly, it builds a matrix identification model for identifying three-dimensional financial risks of enterprise and gives an algorithm. The result shows that financial risk identification matrix model can provide theoretical and technical support for enterprise´s financial risk identifying system.
  • Keywords
    financial management; inflation (monetary); matrix algebra; risk management; enterprise financial crisis; financial resource allocation; financial risk identification; matrix identification model; Biological system modeling; Finite impulse response filter; Indexes; Industries; Power capacitors; Solid modeling; Uncertainty; financial risk; matrix model; risk identification; risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.56
  • Filename
    5572371