运筹与管理 ›› 2018, Vol. 27 ›› Issue (7): 161-169.DOI: 10.12005/orms.2018.0169

• 应用研究 • 上一篇    下一篇

基于信用额度和外生违约概率的出口海陆仓融资质押率优化

杨华龙1,2, 王滋承1, 周咏1   

  1. 1.大连海事大学 交通运输工程学院,辽宁 大连 116026;
    2.大连海事大学 综合交通运输协同创新中心,辽宁 大连 116026
  • 收稿日期:2017-08-27 出版日期:2018-07-25
  • 作者简介:杨华龙(1964-),男,辽宁大连人,博士,教授,博士生导师,研究方向:物流与供应链管理;王滋承(1989-),通讯作者,女,山东威海人,博士研究生,研究方向:供应链金融;周咏(1978-),男,辽宁岫岩人,博士研究生,研究方向:供应链金融。
  • 基金资助:
    国家自然科学基金资助项目(71372088);中央高校基本科研业务费(01760431);辽宁省高等教育内涵发展专项资金(协同创新中心)资助(20110116102);山东社会科学规划资助项目(13DJJJ02)

Optimization on Loan-to-value Ratios of Exporting Offshore/In-transit Inventory Financing with Limited Credit and Exogenous Default Probabilities

YANG Hua-long1,2, WANG Zi-cheng1, ZHOU Yong1   

  1. 1. School of Transportation Engineering, Dalian Maritime University, Dalian 116026, China;
    2. Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian 116026, China
  • Received:2017-08-27 Online:2018-07-25

摘要: 质押率优化是出口海陆仓融资决策的核心内容。针对出口商信用、出口商与进口商外生违约以及质押物价值波动三重叠加风险下的出口海陆仓融资决策问题,在设定出口商信用额度,且给定出口商和进口商外生违约概率的前提下,依据双重Stackelberg博弈原理,以供应链协同均衡下的出口商、进口商和船公司的期望利润最大化为目标,建立了质押率与订货量及货物价格联动优化模型,设计了微分法和逆向归纳法求解模型。算例验证了模型和方法的适用性和有效性。敏感性分析结果表明质押率与出口商信用额度呈负相关关系,对出口商和进口商外生违约概率不敏感。研究结论可为出口海陆仓融资优化决策提供科学参考。

关键词: 出口海陆仓, 质押率, 信用额度, 外生违约概率, 优化

Abstract: The loan-to-value ratios optimization is one of the key issues in the decision-making of exporting offshore/in-transit inventory financing. In this paper, the issue of exporting offshore/in-transit inventory financing decisions concerning triple overlapped risks is addressed, including the exporter's credit risk, the exporter's and the importer's exogenous default risks, and the collateral value fluctuation risk. Based on the theory of double Stackelberg game, in the context of given exporter's credit line and given exogenous default probabilities of exporter and importer, the authors establish the linkage optimization models among the price of goods, the order quantity and the loan-to-value ratio. The objective of the models is to maximize the respective expected profit of the exporter, the importer and the shipping company under supply chain coordination and equilibrium. Differential and backward induction methods are designed to solve the models. The numerical example verifies the applicability and validity of the proposed models. The results of sensitivity analysis show that the loan-to-value ratio has a negative correlation with the exporter's credit line, and is insensitive to the exogenous default probabilities of exporters and importers. The findings would provide scientific guidance to the optimal decision-making of exporting offshore/in-transit inventory financing.

Key words: exporting offshore/in-transit inventory, loan-to-value ratios, credit line, exogenous default probability, optimization

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