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Financial risk assessment and modelling of PPP based Indian highway infrastructure projects

机译:基于PPP的印度公路基础设施项目的财务风险评估和建模

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This paper investigates financial risk associated with highway infrastructure projects by identifying parameters such as traffic flow and project cost; and further models the risk by analysing real-world PPP based highway projects in India. It applies the Net Present Value (NPV)-at-risk model tool which uses Monte Carlo Simulation taking into account the probability distributions for different input parameters, and gives uncertainty associated with NPV. Further, the model is applied to 30 real-world BOT highway projects to identify critical risks and discuss mitigation strategies. The critical contribution of the paper is towards applying a standard risk-analysis model (NPV-at-risk tool supported by Monte Carlo Simulation) to the real-world PPP based highway infrastructure projects. The application of the developed model can be used as a decision tool to judge the profitability of a project and make investment decisions in the bidding phase by the private investors. It also helps in identifying which source of uncertainty has the most influence on the project’s financial returns and what is the actual relationship between the critical influencing parameters and associated NPV; this will be helpful to government agencies and public authorities to identify the factors that have largest impacts and consider the corresponding mitigation strategies.
机译:本文通过确定交通流量和项目成本等参数来调查与公路基础设施项目相关的财务风险;并通过分析现实世界中基于PPP的印度高速公路项目对风险进行建模。它应用了风险净现值(NPV)模型工具,该工具使用了蒙特卡洛模拟,同时考虑了不同输入参数的概率分布,并给出了与NPV相关的不确定性。此外,该模型还应用于30个现实世界中的BOT高速公路项目,以识别关键风险并讨论缓解策略。本文的关键贡献在于将标准风险分析模型(由Monte Carlo Simulation支持的NPV-at-risk工具)应用于基于PPP的现实世界高速公路基础设施项目。所开发模型的应用可以用作决策工具,以判断项目的盈利能力并在私人投资者的投标阶段做出投资决策。它还有助于确定哪些不确定性因素对项目的财务回报影响最大,以及关键影响参数和相关净现值之间的实际关系是什么?这将有助于政府机构和公共机构识别影响最大的因素并考虑相应的缓解策略。

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