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A Theory Approach towards Tradable Rail Freight Option
Author(s) -
Jingwei Guo,
Lutian Li,
Ji Zhang,
Qi Shen,
Zhongqi Xie,
Qinglin Li
Publication year - 2021
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2021/6661425
Subject(s) - computer science , lemma (botany) , valuation of options , preference , nonparametric statistics , competition (biology) , business , microeconomics , operations research , industrial organization , economics , econometrics , mathematics , ecology , poaceae , biology
For railway freight pricing, this paper proposes a new tradable rail freight option (RFO). A multiphase trigeminal tree pricing model is established to analyze the optimal pricing decision of RFO. The main parameters of the model are identified theoretically through nonparametric Ito stochastic approach. The paper expands the theory of railway freight pricing. The aim of this paper is to construct the railway freight option theory to help railway transportation enterprise cope with fierce competition and challenge from other modes of transportation in China. The most significant feature of this method is its simplicity in analyzing the optimal pricing decision using only the algebraic category and Ito’s lemma.

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