期刊文献+

风险投资机构与创业企业双边匹配决策研究

Research on Two-sided Matching Decisions of VEs and VCs
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摘要 鉴于金融市场投融资信息的复杂性和重要性,以及风险投资机构和创业企业需求信息的多元化,构建基于不同类型需求信息的风险投资机构与创业企业双边匹配模型。首先,对风险投资机构和创业企业的需求信息进行分类并以每种需求信息的期望值作为参照点,利用不同类别的数据处理方法将投资中介得出的实际评估信息转化为相对于参照点的损益值。然后,引入前景理论把损益值转化为刻画风险投资机构与创业企业双方满意度的综合前景值,从而构建以综合前景值最大化为目标的多目标优化模型,并求解模型得出最优解。最后,用算例证明了该模型的实用性和有效性。 In view of the complexity and importance of financial market financing information, as well as the diversification of Venture Capitalists (VCs) and Venture Enterprises (VEs), a two-sided matching model between VEs and VCs based on different types of demand information is constructed. Firstly, the demand information of VEs and VCs is classified and the expected value of each demand information is used as a reference point. Different types of data processing methods are used to convert the actual evaluation information obtained by the investment intermediary into the profit and loss relative to the reference point value. Then, the introduction of prospect theory transforms the profit and loss value into a comprehensive foreground value that depicts the satisfaction of both VEs and VCs, so as to construct a multi -objective optimization model aiming at maximizing the comprehensive foreground value, and solving the model to obtain the optimal solution. Finally, an example is given to prove the practicability and effectiveness of the model.
作者 邱科 QIU Ke(School of Finance,Chongqing Technology and Business University,Nan'an Chongqing 400067,China)
出处 《重庆文理学院学报(社会科学版)》 2019年第5期45-53,60,共10页 Journal of Chongqing University of Arts and Sciences(Social Sciences Edition)
关键词 风险投资机构 创业企业 需求信息 前景理论 双边匹配 venture capitalists venture enterprises demand information prospect theory two-sided matching
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