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Newsvendor model with random supply and financial hedging: Utility-based approach

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  • Sayın, F.
  • Karaesmen, F.
  • Özekici, S.

Abstract

This paper takes a utility-based approach to the single-period and single-item newsvendor model. Unlike most models in the literature the newsvendor is not necessarily risk-neutral and chooses the order quantity that maximizes the expected utility of the cash flow at the end of the period. We suppose that there is uncertainty in demand as well as supply. Furthermore, random demand and supply may be correlated with the financial markets. The newsvendor exploits this correlation and manages his 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 the selection of the optimal portfolio at the same time. We first use a minimum-variance approach to select the portfolio. The analysis results in some interesting and explicit characterizations on the structure of the optimal policy. We also present numerical examples to illustrate the effects of the parameters on the optimal order quantity, and the importance of financial hedging on risk reduction.

Suggested Citation

  • Sayın, F. & Karaesmen, F. & Özekici, S., 2014. "Newsvendor model with random supply and financial hedging: Utility-based approach," International Journal of Production Economics, Elsevier, vol. 154(C), pages 178-189.
  • Handle: RePEc:eee:proeco:v:154:y:2014:i:c:p:178-189
    DOI: 10.1016/j.ijpe.2014.04.014
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    References listed on IDEAS

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    Cited by:

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    2. Wang, Dan & Qin, Zhongfeng & Kar, Samarjit, 2015. "A novel single-period inventory problem with uncertain random demand and its application," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 133-145.
    3. Ni, Jian & Chu, Lap Keung & Li, Qiang, 2017. "Capacity decisions with debt financing: The effects of agency problem," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1158-1169.
    4. Han, Guanghua & Dong, Ming & Liu, Shaoxuan, 2014. "Yield and allocation management in a continuous make-to-stock system with demand upgrade substitution," International Journal of Production Economics, Elsevier, vol. 156(C), pages 124-131.
    5. Dai, Jiansheng & Meng, Weidong, 2015. "A risk-averse newsvendor model under marketing-dependency and price-dependency," International Journal of Production Economics, Elsevier, vol. 160(C), pages 220-229.
    6. Begen, Mehmet A. & Pun, Hubert & Yan, Xinghao, 2016. "Supply and demand uncertainty reduction efforts and cost comparison," International Journal of Production Economics, Elsevier, vol. 180(C), pages 125-134.
    7. Li, Xiang & Qi, Xiangtong, 2021. "On pricing and quality decisions with risk aversion," Omega, Elsevier, vol. 98(C).
    8. He, Juan & Ma, Chao & Pan, Kai, 2017. "Capacity investment in supply chain with risk averse supplier under risk diversification contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 255-275.
    9. Faiza Hamdi & Ahmed Ghorbel & Faouzi Masmoudi & Lionel Dupont, 2018. "Optimization of a supply portfolio in the context of supply chain risk management: literature review," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 763-788, April.
    10. Serel, Doğan A., 2017. "A single-period stocking and pricing problem involving stochastic emergency supply," International Journal of Production Economics, Elsevier, vol. 185(C), pages 180-195.
    11. Liu, Zugang & Wang, Jia, 2019. "Supply chain network equilibrium with strategic financial hedging using futures," European Journal of Operational Research, Elsevier, vol. 272(3), pages 962-978.
    12. 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.

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