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基于前景理论与Bayes后验信念的风险投资项目最优投资时机研究

王良   

  1. 西安理工大学管理学院金融系, 陕西 710048 中国
  • 收稿日期:2024-08-28 修回日期:2025-12-18 接受日期:2025-12-23
  • 通讯作者: 王良
  • 基金资助:
    国家社科基金项目(20XGL003)

Optimal Investment Timing of Venture Capital Projects Based on Prospect Theory and Bayesian Posterior Beliefs Model

  1. , 710048, China
  • Received:2024-08-28 Revised:2025-12-18 Accepted:2025-12-23

摘要: 针对风险投资项目的最优投资时机确定问题进行了研究。首先,考虑到决策者的风险投资偏好,基于前景理论将决策过程分为两阶段并明晰其决策机理。其次,引入Bayes后验信念,根据随机最优控制模型建立HJB方程并确定项目收益函数,并结合决策权重函数确定决策者的期望价值。最后,通过确定不同学习模式的更换时机厘定决策者的最优学习策略,并基于价值最大化构建最优投资时机模型。通过仿真分析,探讨了信息质量、学习成本在学习模式选择中的作用,并分别研究了信息波动率、折现率对风险投资项目最优投资时机的影响。研究发现:(1)决策者期望价值会受到学习模式、折现率的共同影响,当项目投资前景较差、折现率较低时,决策者为降低信息收集成本将选择学习成本较低的学习模式。(2)在决策者选择学习模式更新项目投资前景预期的过程中,若信息质量随着信息波动率的上升而下降,则项目最优投资时机与信息波动率呈同向变化关系。(3)在决策者基于前景理论进行价值评估的过程中,若项目收益随着折现率的减小而上升,则决策者将控制信息收集成本,并倾向于选择学习成本低的学习模式,此时项目最优投资时机与折现率呈反向变化关系。

关键词: 前景理论, Bayes后验信念, 学习模式, 最优投资时机

Abstract: This study aims at the problem of determining the optimal timing of investment in venture capital projects. First, given the risk investment preferences of decision-makers, based on the prospect theory divides the decision-making process into two stages and clarifies its decision-making mechanism. Secondly, introducing Bayesian posterior beliefs, establishing the HJB equation according to the stochastic optimal control model, and ascertaining the projects return function, then combining with the decision weight function to identify the expected value of decision-makers. Eventually, by identifying the replacement timing of different learning modes to determine the optimal learning strategy of decision-makers and construct the optimal investment timing model based on value maximization. Through simulation analysis, we explore the roles of information quality and learning cost in learning mode selection and investigate the effects of information volatility and discount rate on the optimal investment timing of venture capital projects, respectively. The results illustrate that: (i) The expected value of decision-makers will be jointly influenced by the learning mode and discount rate. When the projects' investment prospect is worse and the discount rate is low, decision-makers will choose the learning mode with lower learning cost in order to reduce the information collection cost. (ii) In the process of decision-makers choosing a learning mode to update projects' investment prospect expectations, if information quality decreases with the rise of information volatility, the optimal investment timing of the projects is in the same direction as the information volatility. (iii) During the process of value assessment by decision-makers based on prospect theory, if the projects return increases with the decrease of the discount rate, decision-makers will control the information collection cost and tend to choose the learning mode with low learning cost, and at this time the optimal investment timing of the projects is inversely related to the discount rate.

Key words: Prospect theory, Bayesian posterior beliefs, Learning mode, Optimal investment timing