中科曙光企业价值评估研究  

Big Data Enterprise Value Evaluation Based on Real Options Method

作　　者：郝玲 Hao Ling(School of Business,Qingdao University of Technology,Qingdao Shandong 266000,China)

机构地区：[1]青岛理工大学商学院,山东青岛266000

出　　处：《现代工业经济和信息化》2024年第11期236-239,共4页Modern Industrial Economy and Informationization

摘　　要：在大数据企业价值评估的探索初期,为了确保大数据交易市场的稳健成长,并为这类公司提供更广阔的发展空间,需要对大数据企业的价值进行科学合理的评估。因此,研究和开发一套适用于大数据企业价值评估的定价策略显得至关重要。结合了收益法的自由现金流折现模型与实物期权法的B-S模型,对大数据企业-中科曙光进行了价值评估。In the early stages of exploring big data enterprise value evaluation,in order to ensure the steady growth of the big data trading market and provide broader development space for such companies,we need to conduct a scientific and reasonable assessment of the value of big data enterprises.Therefore,it is crucial to research and develop a pricing strategy suitable for the value evaluation of big data enterprises.Therefore,this article combines the discounted free cash flow model of the income approach with the B-S model of the real options method to evaluate the value of big data enterprises.

关 键 词：潜在价值 大数据企业 实物期权模型 企业价值评估 

分 类 号：F275[经济管理—企业管理]