Research On Equity Investment Valuation Of Internet E-commerce

With the development of China's Internet industry,equity investment funds are paying more and more attention to Internet e-commerce companies.However,in recent years,the equity valuation method for Internet e-commerce companies has not kept up with the development of e-commerce companies.The equity valuation method does not eliminate the impact of fraudulent transactions(click farming)in e-commerce companies on equity valuation,so it is not possible to accurately assess the equity value of e-commerce companies.This paper studies the applicability of current valuation methods in the context of the rapid development of e-commerce enterprises,and puts forward specific theories and methods for identifying false transactions,and conducts empirical analysis through real enterprise data.This paper uses literature analysis method,decision model analysis method and empirical analysis method to analyze and draw relevant conclusions.This paper analyzes the cost valuation method,income valuation method and relative valuation method of current corporate equity valuation,and discusses the advantages and limitations of various valuation methods.On this basis,the paper analyzes the P/E ratio method,the P/S ratio method and the P/GMV method in the relative valuation method,and expounds the impact of false transactions on the equity valuation in e-commerce enterprises.This paper analyzes the business model and future development model of e-commerce enterprises,and analyzes the process of making orders and fraudulent techniques from the subject of behavior.On the basis of this,the decision tree model analysis method is introduced for the identification of false orders.The decision tree ID3 model,decision tree C4.5 model,decision tree SLIQ model and random decision forest model are introduced,and the models are compared.difference.This paper compares the decision tree model with the actual e-commerce enterprise data and the identification of false orders,and demonstrates the recognition effect between different decision tree models,and draws a false decision-making forest model to identify the false orders of Internet e-commerce enterprises.The effect is better.The conclusion and value of this paper is a set of methods that can identify false transactions in Internet e-commerce companies.Through the decision forest model,the data of the fraudulent transaction(click farming)in the order data during the equity valuation period can be identified,and the identified false order GMV and the P/GMV equity valuation method are combined to make the equity of the e-commerce platform The valuation is more accurate,which provides more accurate valuation data for equity investment funds in the valuation of e-commerce platform equity.