风险项目的投资期权分析

本文讨论了风险投资家向企业主融资时的投资期权,求出了投资期权的表达式,并对其中的一些参数进行了分析.     

技术创新与增长期权定价

本采用了净现值(NPV)和实物期权定价方法对一个实际的MMDS的发射放大器项目进行了定价，并对两种方法定价的结果进行了分析和对比。由于实物期权方法定价的结果包含项目中的增长期权和放弃期权的价值，因而实物期权方法定价的结果比NPV方法定价的结果更合理和更高。     

石油勘探项目分阶段投资的最优时机选择

针对一次性投资决策理论与方法在石油勘探项目分阶段投资决策中应用的局限性,运用实物期权中的序列投资决策理论与方法,假设勘探储量转让价格服从跳跃扩散过程,构建了石油勘探项目分阶段投资的最优时机选择模型,逆序求解得出各阶段最优投资时机临界值的解析表达式,在此基础上通过案例演算对比分析了一次性投资和分阶段投资的最优时机决策规则.研究结果表明:一次性投资下的最优时机临界值高于分阶段投资下的最优时机临界值,且各阶段的最优投资时机临界值随勘探进程的不断深入呈现逐渐下降的趋势.     

新技术市场化投资的期权分析

本文运用实物期权方法分析了企业在技术创新过程中对新技术进行市场化投资的时机决策问题,建立实物期权模型并求出了最优投资的价格临界值。     

实物期权方法在自主创新项目投资决策中的应用

传统的投资决策方法由于蕴含着不确定性和可逆转性的假设使其不适应于高风险、高收益并存的自主创新项目投资决策.将实物期权思想融入自主创新项目投资决策方法,考虑了项目由于柔性经营的期权价值,能更准确地反映项目的价值,从而提高投资决策的科学性和合理性.从实物期权理论的基本原理出发,通过具体实例对比说明实物期权方法应用于自主创新项目投资决策的优势.     

投资项目风险分析与方案选择

以投资项目的重要评价指标净现值来例,利用有关数理统计的方法和效用函数讨论了投资项目的风险分析与方案选择问题。     

投资决策分析方法的缺陷及改进

本文指出了传统投资决策方法的缺陷 ,提出了将期权理论应用于投资决策的总体思路 ,突破了传统决策分析的局限性 ,使决策更加科学和合理     

期权思想在多阶段项目投资中的应用

本文主要借助期权理论,讨论项目投资分多阶段进行时选择最佳投资的问题.首先通过在单阶段投资下建立项目投资的最佳选择框架,然后展开到项目投资分两个阶段进行的情形上进行讨论分析,得出此情形下的投资选择结论,最后把这一结论扩展到项目投资分多阶段进行的项目上.     

投资项目选择的风险评价AHP模型及其应用

论述了投资项目选择问题的重要性 ,对常用的投资项目选择方法进行了综述分析 ,探讨了投资项目选择的风险评价指标体系和层次分析法的基本原理 ,提出了投资项目选择的风险评价层次分析模型 ,并以实例说明了如何将层次分析法应用于投资项目选择的风险评价问题 .     

延迟期权与风险投资决策研究

本在传统投资方法基础上，通过引入延迟期权定价理论，建立风险投资项目时机选择模型，增加了风险投资项目决策的科学性。     

第一类椭圆型方程组的Neumann边值问题

本文我们运用函数理论方法，讨论了具有光滑边界的有界区域的第一类椭圆型方程组的Neumann边值问题，这些结果不仅推广了文献Hua,Lin,Wu[1]的结果，而且有很好的理论和现实意义。     

Uncertainty and stepwise investment

We analyze the optimal investment strategy of a firm that can complete a project either in one stage at a single freely chosen time point or in incremental steps at distinct time points. The presence of economies of scale gives rise to the following trade-off: lumpy investment has a lower total cost, but stepwise investment gives more flexibility by letting the firm choose the timing individually for each stage. Our main question is how uncertainty in market development affects this trade-off. The answer is unambiguous and in contrast with a conventional real-options intuition: higher uncertainty makes the single-stage investment more attractive relative to the more flexible stepwise investment strategy.     

Investment and the dynamic cost of income uncertainty: The case of diminishing expectations in agriculture

This paper studies optimal investment and the dynamic cost of income uncertainty, applying a stochastic programming approach. The motivation is given by a case study in Finnish agriculture. The investment decision of a representative farm is modelled as a Markov decision process, extended to account for risk. A numerical framework for studying the dynamic uncertainty cost is presented, modifying the classical expected value of perfect information to a dynamic setting. The uncertainty cost depends on the volatility of income: e.g. with stationary income, the dynamic uncertainty cost corresponds to a dynamic option value of postponing investment. The model can be applied to agricultural policy planning. In the case study, the investment decision is sensitive to risk.     

有限时区上的最优转换和停止问题

讨论了有限时区上的最优转换和停止问题,它是一类同时具备脉冲控制和最优停止特征的最优控制问题.问题的最优值以及最优转换和停止决策可以由具有混合障碍的多维反射倒向随机微分方程的解来刻画.接着考虑了形式更一般的反射倒向随机微分方程并证明了方程解的存在唯一性.     

Strategic investment under uncertainty: A synthesis

Investment is a central theme in economics, finance, and operational research. Traditionally, the focus of analysis has been either on assessing the value of flexibility (investment under uncertainty) or on describing commitment effects in competitive settings (industrial organization). Research contributions addressing the intersection of investment under uncertainty and industrial organization have become numerous in recent years. In this paper, we provide an overview aimed at categorizing and relating these research streams. We highlight managerial insights concerning the nature of competitive advantage (first- versus second-mover advantage), the manner in which information is revealed, firm heterogeneity, capital increment size, and the number of competing firms.     

Optimal investment under operational flexibility, risk aversion, and uncertainty

Traditional real options analysis addresses the problem of investment under uncertainty assuming a risk-neutral decision maker and complete markets. In reality, however, decision makers are often risk averse and markets are incomplete. We confirm that risk aversion lowers the probability of investment and demonstrate how this effect can be mitigated by incorporating operational flexibility in the form of embedded suspension and resumption options. Although such options facilitate investment, we find that the likelihood of investing is still lower compared to the risk-neutral case. Risk aversion also increases the likelihood that the project will be abandoned, although this effect is less pronounced. Finally, we illustrate the impact of risk aversion on the optimal suspension and resumption thresholds and the interaction among risk aversion, volatility, and optimal decision thresholds under complete operational flexibility.     

Optimal access pricing for natural monopoly networks when costs are sunk and revenues are uncertain

This paper studies optimal access pricing for natural monopoly networks with large sunk costs and uncertain revenues. Using techniques from the option pricing literature, we show that the optimal access price corresponds to a risk-free form of the Efficiency Component Pricing Rule (ECPR), that is, where the opportunity cost is based on the risk free rate of return. We also show that at levels of revenue above the optimal level that triggers entry, the entrant should pay a premium above risk-free ECPR that rewards the incumbent for relinquishing his rights to the risky cash flows at the higher revenue level.     

Optimal exercise of jointly held real options: A Nash bargaining approach with value diversion

This paper provides a two-stage decision framework in which two or more parties exercise a jointly held real option. We show that a single party’s timing decision is always socially efficient if it precedes bargaining on the terms of sharing. However, if the sharing rule is agreed before the exercise timing decision is made, then socially optimal timing is attained only if there is a cash payment element in the division of surplus. If the party that chooses the exercise timing can divert value from the project, then the first-best outcome may not be possible at all and the second-best outcome may be implemented using a contract that is generally not optimal in the former cases. Our framework contributes to the understanding of a range of empirical regularities in corporate and entrepreneurial finance.     

固定资产投资系统的稳定性分析及最优控制问题

给出带有时滞的一类固定资产模型，此模型为含有非局部和时滞边界条件的分布参数系统。通过Lyapunov函数，对系统的稳定性进行了分析，给出系统稳定的充分条件，然后，讨论了积累率的最优控制问题。根据Banach空间的一些理论，证明了其最优解的存在唯一性。