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Research On Logistics Financial Risk Recognition Model Based On Artificial Immunity

Posted on:2020-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhangFull Text:PDF
GTID:2428330572481777Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
With the changes and development of the times,the logistics finance business has been continuously developing.As a value-added service of logistics services,logistics finance can not only improve the competitiveness and business capabilities of logistics enterprises,but also become a new profit growth point for enterprises.As a new type of business,logistics finance is accompanied by certain logistics financial risks,which makes participating companies face internal and external difficulties.Therefore,only by understanding,controlling and solving these logistics financial risks,logistics finance business can be better carried out.This will ensure the healthy and rapid development of the logistics finance business.Firstly,according to the literature,the paper analyzes the related theories of logistics financial risk identification model and simulation research,including logistics finance risk theory,risk identification theory,biological immune system theory,risk identification index system theory and artificial immune system related theory.Secondly,it analyzes the influencing factors of logistics financial risk,constructs a logistics financial risk identification index system,and selects eight representative indicators that affect logistics financial risk,including market risk,environmental risk,operational risk,legal risk,and pledge itself.Risk,customer credit risk,regulatory risk and credit risk,and cluster analysis of indicators.Through the empirical analysis of the data,verify the reliability and validity test,and the verification factor to determine the index weight,calculate the comprehensive risk,and analyze the risk interval and risk level according to the result.Then the artificial immune principle is introduced into the field of logistics financial risk identification,and a logistics financial risk identification model based on artificial immune is constructed.Through the model test,the accuracy and applicability of the model are verified.Through simulation experiments,important risk factors affecting the development of logistics finance are identified.Finally,based on the results of the model and simulation,the logistics financial risk prevention measures and management strategies are proposed.This paper aims to provide a good opportunity for the development of China's logistics finance through the identification model and simulation of logistics financial risk.Thereby alleviating the pressure on logistics companies,financial institutions andthird-party logistics companies,and promoting the good development between the three.
Keywords/Search Tags:Logistics Finance Risk, artificial immunity, Risk identification model, Simulation Research
PDF Full Text Request
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