• DocumentCode
    3503187
  • Title

    Stochastic Cost-Volume-Value Model with Economic Demand and Cost Functions

  • Author

    Shao Xi-Juan ; Feng Jun-ying

  • Author_Institution
    Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    3927
  • Lastpage
    3930
  • Abstract
    The paper has set forth and developed a stochastic cost-volume-value (CVV) model with economic demand and cost functions. The model describes the relationship among cost, volume and value under uncertainty; and helps company managers conduct breakeven analysis in management decision-making and planning. Compared with the cost-volume-profit (CVP) model, the function of CVV model is EVA but not profits. Therefore, the model offset the limitation of the conventional CVP model which does not take the capital costs into consideration, and is more suitable for managers to make decisions in value creation. In reality, product prices and unit costs are related with volume. The model herein incorporates a linear demand function and a quadratic cost function. According to the stochastic CVV model, l.Explicit solution is found for the quantity which maximizes expected EVA. 2. The probability expression of expected EVA is found. 3. A specific expression which can be used for determining fixed cost is found, and then managers can choose activities which really create value for enterprises.
  • Keywords
    economics; profitability; stochastic processes; economic demand; linear demand function; quadratic cost function; stochastic cost-volume-value model; Companies; Cost function; Decision making; Industrial economics; Industrial relations; Planning; Predictive models; Risk analysis; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.971
  • Filename
    4340746