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基于利率期限结构模型的项目投资决策研究

Research of Project Decision-Making Based on Term Structure Model of Interest Rates

【作者】 车君

【导师】 周荣喜;

【作者基本信息】 北京化工大学 , 管理科学与工程, 2011, 硕士

【摘要】 净现值分析指标是现代项目投资决策的一个重要研究内容,已广泛应用于经济与管理领域。而折现率是决定净现值的关键因素,直接影响着投资决策结果的可靠性和准确性,如何使折现率更加符合投资项目评价和财务管理的实际是一个值得深入研究的问题。本文在前人研究成果基础上,提出用利率期限结构模型来确定折现率,修正净现值计算公式,进而改进盈亏平衡分析、实物期权分析中对净现值公式的应用,变静态分析为动态分析,并将以上研究成果应用于项目投资决策。主要工作及创新之处如下:(1)针对净现值中折现率一成不变的弊端,充分发挥利率期限结构模型在拟合和估计利率变动行为方面的优势,修正净现值中的折现率,弥补其静态被动性分析的缺陷,使其具备动态性,更合理有效地反映项目现金流的风险特性,更加符合现实情况,并设置不同情况下的算例对其进行应用验证。(2)传统盈亏平衡分析以盈利为零作为盈亏平衡点,没有考虑资金的时间价值,是一种静态分析。动态盈亏平衡分析以净现值等于零的状态作为盈亏平衡状态,将资金的时间价值考虑在内,但在应用净现值公式计算时仍采用固定折现率,本文通过运用线性规划利率期限结构模型来确定动态折现率,使动态盈亏平衡分析的动态性更具有实际意义,并结合适当算例验证该方法的有效性。(3)很多情况下实物期权分析都局限于B-S模型,由于实物期权分析在一定程度上是对NPV方法的扩展,本文将利率期限结构模型引入实物期权,运用遗传算法优化的SV模型修正传统的基于B-S模型的实物期权定价公式,改进实物期权分析中对净现值公式的运用,提高评价结果的可信度。并将这种理论上的创新应用到清洁发展机制(CDM)项目的投资决策中,令该投资项目的经济评价更切合实际。

【Abstract】 Net present value analysis accounts an important position in project decision-making problems. It has been widely used in economic, management and other fields. The rate used to discount future cash flows to the present value is a key variable of this process, which directly impacts on the accuracy and reliability of the decision-making results, and how to obtain the more effective discount rate which is suitable for projects assessment and financial management is a very significant research field.Based on previous research results, the paper uses interest rates term structure model to determine the discount rate, and amends the calculation formula of net present value, thereby improving the application of net present value calculation formulas during the solving process of breakeven analysis and real option analysis, changing the static analysis into dynamic analysis. At the same time, this paper applies the above results to the field of project investment decision-making. The main work and innovative results are as follows:(1) For the common pitfalls of static discount rates used in the net present value calculation formula, this paper giving full play to the superiority of interest rates term structure models in fitting and estimating the randomness of rates change introduces interest rates term structure models, which can amend the calculation formula of net present value and change the static analysis into dynamic analysis, in order to make the net present value analysis more reasonable and effective to reflect the risk characteristics of the project cash flow and more in line with reality.(2) Traditional breakeven analysis is a static analysis, which makes profit to be zero as the break-even point, without considering the time value of capital. Dynamic breakeven analysis considers the time value of capital by making net present value to be zero as the break-even point. This paper will make the dynamic breakeven analysis more practical by using the linear programming interest rate term structure model to determine the dynamic discount rate and verify the effectiveness of the method with appropriate examples.(3) In many cases real option analysis is limited to B-S model. Since real option analysis is the expansion of NPV method to some extent, this paper introduces interest rates term structure models into the real option, uses SV interest rates term structure models optimized by genetic algorithm to amend the real option pricing formula based on the traditional B-S model, so that to improve the application of NPV formula in the real option analysis, which will make the evaluation results more believable.The paper applies the theoretical innovation to the investment decision of clean development mechanism (CDM) projects, so as to make the projects assessment more in line with the actual situation.

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