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Supply chain management using put option contracts with information asymmetry

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  • Preetam Basu
  • Qindong Liu
  • Jan Stallaert

Abstract

We study the problem of hedging demand uncertainty in a supply chain consisting of a risk-neutral supplier and a risk-averse retailer under a buyback contract. We use semi-variance of the possible profit values as a measure of the retailer’s risk attitude. We first study the setting where the supplier can observe the risk type of the retailer and find that in this case the supplier can design a buyback contract that extracts the maximum profit for the supplier. When the retailer’s type is unobservable, a new contract needs to be designed (the ‘option buyback contract’) and we show that in this case the retailers will self-select and chose an order quantity that maximises the total supply chain profit. Through numerical computations, we analyse the dynamics between the benefits of hedging risk, information rent and the retailer’s type, and outline cases when, depending on the shape of the reservation utilities of the retailers, it is too costly for the supplier to manage risk. In conclusion, our results show that whereas semi-variance has appealing properties as a measure of risk, its use introduces analytical challenges that can only be overcome through numerical computation.

Suggested Citation

  • Preetam Basu & Qindong Liu & Jan Stallaert, 2019. "Supply chain management using put option contracts with information asymmetry," International Journal of Production Research, Taylor & Francis Journals, vol. 57(6), pages 1772-1796, March.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:6:p:1772-1796
    DOI: 10.1080/00207543.2018.1508900
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    Cited by:

    1. Chang, Shuhua & Li, Jiajing & Sethi, Suresh P. & Wang, Xinyu, 2024. "Risk hedging for VaR-constrained newsvendors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    2. Yu, Huaibing, 2024. "Why isn't composite equity issuance favored by the stock market? A risk-based explanation for the anomaly," International Review of Financial Analysis, Elsevier, vol. 94(C).
    3. Li, Yemei & Shan, Yanfei & Ling, Shuang, 2022. "Research on option pricing and coordination mechanism of festival food supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    4. Meng, Qingchun & Kao, Zhiping & Guo, Ying & Bao, Chunbing, 2023. "An emergency supplies procurement strategy based on a bidirectional option contract," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    5. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    6. Pan Guo & Yanlin Jia & Junwei Gan & Xiaofeng Li, 2021. "Optimal Pricing and Ordering Strategies with a Flexible Return Strategy under Uncertainty," Mathematics, MDPI, vol. 9(17), pages 1-12, August.
    7. Avinadav, Tal & Chernonog, Tatyana & Meilijson, Isaac & Perlman, Yael, 2022. "A consignment contract with revenue sharing between an app developer and a distribution platform," International Journal of Production Economics, Elsevier, vol. 243(C).

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