灰色聚类法的投资工程项目实物期权价值排序

Ordinal Excellent Select of Real Options Pricing on Investment Items via Grey Clustering

针对现行实物期权定价方法缺少相关信息的缺陷,依据影响实物期权价值的5种主要因素,应用灰色理论中的灰色聚类评估法,对纳入投资的A,B,C,D工程项目,按灰度级别高的优先进行评比排序,将排序结论与实际实物期权A,B,C,D定价的具体值进行验证对比,表明这种评价排序的有效性,它还能验证投资工程项目评估期权估价价值的准确度。

Real options are a new method for investment items evaluation. There are many defaults in present pricing model, such as lacking interpreted pricing information etc. This paper discusses grey Clustering ordinal select method for real options pricing, according to 5 mainly influence factors of the real options pricing. Comparing the ordinal select conclusions on A, B, C, D items based on the grey clustering method with the really value of A, B, C, D real options pricing, the results indicate that the grey clustering ordinal select evaluation method not only produce good effects, but also can prove the accuracy of the pricing value on the investment items.