基于支持向量机的宠物食品企业价值评估研究——以中宠股份为例  

Research on Pet Food Enterprise Value Evaluation Based on Support Vector Machine——A Case Study of Yantai China Pet Foods

作　　者：卢亮[1] 杨天仪 陈世君 Lu Liang;Yang Tianyi;Chen Shijun

机构地区：[1]中南财经政法大学工商管理学院,湖北武汉430070 [2]四川盛豪律师事务所,四川成都610000

出　　处：《中国资产评估》2022年第7期73-80,F0003,共9页Appraisal Journal of China

摘　　要：近年来宠物经济的迅速发展为宠物食品企业带来了发展机遇,其企业价值也会有一定的改变。但是宠物食品企业价值评估领域的研究匮乏,理论体系也有待完善。本文基于宠物食品企业起步时间晚、高速成长等特点,并考虑到支持向量机模型在小样本、非线性预测方面的优势,引入支持向量机模型对宠物食品企业营业收入进行预测,再采用自由现金流折现模型评估其企业价值,并与基于灰色预测的自由现金流折现模型的估值结果进行对比分析,充分说明了基于支持向量机的自由现金流折现模型在评估宠物食品企业价值方面的可靠性,提供了新的评估思路。In recent years,the rapid development of pet economy has brought development opportunities for pet food enterprises,and their enterprise value has also changed.However,the research in the field of pet food enterprise value evaluation is lacking and the theoretical system needs to be improved.Pet food enterprises have the characteristics of late start time and rapid growth.Moreover,Support vector machine model has advantages in small sample and nonlinear prediction.Therefore,this paper introduces support vector machine model to predict the operating income of pet food enterprise,and then uses free cash flow discount model to evaluate its enterprise value.The results are compared with the free cash flow discount model based on grey forecasting.This paper fully demonstrates the reliability of free cash flow discount model based on support vector machine in evaluating the value of pet food enterprises,and provides a new evaluation idea.

关 键 词：企业价值评估 宠物经济 宠物食品企业 支持向量机模型 

分 类 号：F08[经济管理—政治经济学]