Due to the characteristics of fast technology update,high added value of products,and easy to exist unknowns,software enterprises can easily cause distortion of their evaluation values by using traditional evaluation methods.In view of the difficulties and key points of the value evaluation of software enterprises,this paper proposes a software enterprise value evaluation method based on stochastic forest model,which adopts the average reduction accuracy,the average reduction of Gini coefficient and the correlation coefficient clustering method to build a model index system.It uses A-share software enterprise sample data for empirical analysis.The study shows that the optimal fit of stochastic forest model is 92.7%,and the fitting effect is good.In terms of importance analysis,the three most important factors affecting the value of software enterprises are the amount of research and development investment,the growth rate of total business revenue and net operating profit less adjusted taxes.
enterprise value assessmentsoftware enterprisesstochastic forest model
NETL
NSTL
维普
万方数据
