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A Stackelberg-based repurchase strategy for rail freight options (BRFO)
by
Guo, Jingwei
, Kuang, Tingyue
, Shen, Qi
in
Bank technology
/ Competitiveness
/ Costs
/ Customers
/ Decision making
/ Emissions
/ Energy consumption
/ Equilibrium
/ Flexibility
/ Freight
/ Game Theory
/ Greenhouse gases
/ Humans
/ Leadership
/ Management
/ Models, Economic
/ Parameter estimation
/ Parameter identification
/ Parameter uncertainty
/ Power
/ Pricing
/ Railroads
/ Revenue sharing
/ Stochastic methods
/ Strategic management
/ Transaction processing
2024
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A Stackelberg-based repurchase strategy for rail freight options (BRFO)
by
Guo, Jingwei
, Kuang, Tingyue
, Shen, Qi
in
Bank technology
/ Competitiveness
/ Costs
/ Customers
/ Decision making
/ Emissions
/ Energy consumption
/ Equilibrium
/ Flexibility
/ Freight
/ Game Theory
/ Greenhouse gases
/ Humans
/ Leadership
/ Management
/ Models, Economic
/ Parameter estimation
/ Parameter identification
/ Parameter uncertainty
/ Power
/ Pricing
/ Railroads
/ Revenue sharing
/ Stochastic methods
/ Strategic management
/ Transaction processing
2024
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Do you wish to request the book?
A Stackelberg-based repurchase strategy for rail freight options (BRFO)
by
Guo, Jingwei
, Kuang, Tingyue
, Shen, Qi
in
Bank technology
/ Competitiveness
/ Costs
/ Customers
/ Decision making
/ Emissions
/ Energy consumption
/ Equilibrium
/ Flexibility
/ Freight
/ Game Theory
/ Greenhouse gases
/ Humans
/ Leadership
/ Management
/ Models, Economic
/ Parameter estimation
/ Parameter identification
/ Parameter uncertainty
/ Power
/ Pricing
/ Railroads
/ Revenue sharing
/ Stochastic methods
/ Strategic management
/ Transaction processing
2024
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A Stackelberg-based repurchase strategy for rail freight options (BRFO)
Journal Article
A Stackelberg-based repurchase strategy for rail freight options (BRFO)
2024
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Overview
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.
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