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A Stackelberg-based repurchase strategy for rail freight options (BRFO)

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  • Qi Shen
  • Tingyue Kuang
  • Jingwei Guo

Abstract

This study presents a novel Buyback Rail Freight Option (BRFO), leveraging Stackelberg game theory to enhance the strategic management of rail freight transactions. By integrating traditional buyback theory with a multi-phase trigeminal tree pricing model and parameter identification through a nonparametric Ito stochastic method, the research addresses key challenges of information asymmetry and market uncertainty. The proposed methodology emphasizes dynamic pricing strategies and market adaptation, constructing a Nash equilibrium framework within railway freight pricing. The findings suggest significant strategic benefits for railway enterprises, positioning BRFO as a crucial tool for improving competitiveness in the face of alternative transport options.

Suggested Citation

  • Qi Shen & Tingyue Kuang & Jingwei Guo, 2024. "A Stackelberg-based repurchase strategy for rail freight options (BRFO)," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-16, September.
    • Handle: RePEc:plo:pone00:0307215
    DOI: 10.1371/journal.pone.0307215
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    References listed on IDEAS

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    1. Jingwei Guo & Zhongqi Xie & Qinglin Li, 2020. "Stackelberg Game Model of Railway Freight Pricing Based on Option Theory," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-11, June.
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