商业可持续性-使用概率模拟方法的资本支出

J. Gullaksen
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摘要

在许多投资项目中,控制参数和事件可能具有不确定性,使投资项目与风险联系在一起。在当前的背景下,投资被定义为为了获得商业可持续性而获得资产,其中商业可持续性旨在通过有效的资源管理实现经济,环境和社会影响之间的平衡,同时最大化组织的盈利能力。输入参数的变异性表现为随机分布,概率模拟可以通过输出概率分布来预测金融模型在不确定条件下的行为。通过敏感性分析,可以降低系统的复杂性,并解释因果关系,例如哪些模型参数对输出变异性贡献最大,哪些参数不显著,可以从模型中剔除,哪些参数相互作用。在传统的投资分析方法中,对输入变量的敏感性的影响,往往是基于一次只考虑一个变量,而概率模拟方法考虑许多变量同时变化的影响。不确定性通过将输入指定为概率分布和指定任何可能影响项目的随机事件来纳入。仿真过程包括连续生成随机数,用于从每个不确定输入参数的概率分布中选择。本文采用概率模拟的方法建立了一个财务评价模型。所讨论的资产投资项目,分为资产管理和资本支出(CAPEX)项目。它考虑了与投资机会相关的成本和收益的可变性、不确定性和风险。投资计划、审批工作流程和管理方法,仅在上下文必要或适用时才包括在内。请注意,财务评价方法虽然很重要,但只是影响投资决策的一个方面。在投资计划和资本预算过程中,它由组织设置中的复杂方面组成,在那里它被确定,开发,证明并最终批准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Commercial Sustainability - CAPEX Using Probabilistic Simulation Approach
In many investment projects, the controlling parameters and events may be uncertain, making the investment project associated with risk. In present context, the investment is defined as acquiring an asset for the purpose of obtaining commercial sustainability, where commercial sustainability aims to achieve the balance between economic, environmental and social impacts through the effective management of resources whilst maximizing organizational profitability. The variability of input parameters will be characterized by stochastic distributions, and the probabilistic simulation can predict the financial model behaviors under uncertainties by an output probability distribution. With sensitivity analysis, the system complexity can be reduced and the cause-and-effect relationship can be explained, for example, which model parameters contribute the most to output variability, which parameters are in-significant and can be eliminated from model and which parameters interact with each other. In a traditional investment analysis method, the effect of sensitivity in input variables, is often based on only one variable considered at a time, whereas a probabilistic simulation approach considers the impact of many variables changing at the same time. The uncertainty is incorporated by specifying inputs as probability distributions and specifying any random events that could affect the project. The simulation process consists of successively generating random numbers, used to select from the probability distribution of each uncertain input parameter. In this paper, a financial evaluation model is developed using a probabilistic simulation approach. The asset investment project discussed, is categorized into asset management and capital expenditure (CAPEX) projects. It accounts for variability, uncertainty and risk, both in the costs and benefits associated with the investment opportunity. Investment planning, approval workflow and management method, is only included as necessary for the context, or applicable. Please note, the financial evaluation method, although it is very important, is only one aspect affecting the investment decisions. In the investment planning and capital budgeting process, it consists of complex aspects in the organizational setting, where it become identified, developed, justified and finally approved.
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