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A utility adjusted newsvendor model with stochastic demand


  • Alavi Fard, Farzad
  • He, Jian
  • Ivanov, Dmitry
  • Jie, Ferry


We develop a continuous time Newsvendor model to determine the optimal inventory level for commodities in an established financial market. Unlike most models in literature, the newsvendor is not necessarily risk-neutral and chooses the order quantity that maximises the expected utility of the cash flow at the end of the period. The newsvendor exploits the correlation between stochastic demand and the price of the commodities, in order to manage risks by investing in a portfolio of financial instruments. The decision problem, therefore, includes not only the determination of the optimal ordering policy, but also, at the same time, the selection of a portfolio that maximises her utility. Further, we demonstrate that our model, compared to a myopic approach (i.e. no hedging), requires significantly lower levels of inventory buffer to mitigate demand uncertainty, thus better utilising capital.

Suggested Citation

  • Alavi Fard, Farzad & He, Jian & Ivanov, Dmitry & Jie, Ferry, 2019. "A utility adjusted newsvendor model with stochastic demand," International Journal of Production Economics, Elsevier, vol. 211(C), pages 154-165.
  • Handle: RePEc:eee:proeco:v:211:y:2019:i:c:p:154-165
    DOI: 10.1016/j.ijpe.2019.01.018

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    References listed on IDEAS

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    Cited by:

    1. Alavi Fard, Farzad & Sy, Malick & Ivanov, Dmitry, 2019. "Optimal overbooking strategies in the airlines using dynamic programming approach in continuous time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 384-399.


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