成本风险的分形性质:投资组合效应、幂律、对数正态分布的风险和不确定性

C. Smart
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引用次数: 2

摘要

成本风险可以添加到遵循幂律概率分布的许多自然现象的列表中。正态分布和对数正态分布都不是幂律分布,它们都低估了极端成本增长的概率,这与经验数据的比较表明。这种情况使广泛争论的“投资组合效应”陷入进一步的争论。然而,尽管幂次定律对于模拟极端事件很有用,预算通常不会设定在极端的百分位数,比如第90个百分位数。事实上,预算通常设定在70%或更低。此外,研究表明,对数正态分布在该地区和总体上的百分位数资助也是有问题的。要对单个项目的成本风险进行建模,通过使用百分位数资金设置预算和/或储备,百分位数选择在或低于70百分位数,正态分布可能是最佳选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Fractal Nature of Cost Risk: The Portfolio Effect, Power Laws, and Risk and Uncertainty Properties of Lognormal Distributions
Cost risk can be added to the list of the many phenomena in nature that follow a power-law probability distribution. Both the normal and lognormal, neither of which is a power-law distribution, underestimate the probability of extreme cost growth, as shown by comparison with empirical data. This situation puts the widely debated “portfolio effect” into further dispute. However, even though power laws are useful for modeling extreme events, budgets are not typically set at extreme percentiles, such as the 90th. Indeed, budgets are usually set at the 70th percentile or below. In addition, it is shown that the lognormal distribution is also problematic in that region and for percentile funding in general. To model cost risk for an individual program by setting budgets and/or reserves using percentile funding with a percentile chosen at or below the 70th percentile, it appears that the normal distribution may be the best option.
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