Value Function Computation in Fuzzy Real Options by Differential Evolution

Maria Letizia Guerra, Laerte Sorini, Luciano Stefanini
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Abstract

Real options are a typical framework in economics that involves uncertainty. The definition of the value function of real options can take advantage of a model of uncertainty that includes stochastic processes and fuzzy numbers; to perform the complete analysis with american type real options, we need to compute the fuzzy extension of the value function for A special version of the multiple population differential evolution algorithm is designed to compute the level-cuts of the fuzzy extension of the multidimensional real valued function of fuzzy numbers in the resulting optimization problems. We perform some computational experiments connected with the option to defer investment, that is an American call option on the present value of the completed expected cash flows with the exercise price equal to the required outlay.
基于差分进化的模糊实物期权价值函数计算
实物期权是经济学中涉及不确定性的典型框架。实物期权价值函数的定义可以利用包含随机过程和模糊数的不确定性模型;为了对美式实物期权进行完整的分析,我们需要计算价值函数的模糊扩展。设计了一种特殊版本的多种群差分进化算法,用于计算模糊数的多维实值函数的模糊扩展的水平切割。我们进行了一些与延迟投资期权相关的计算实验,这是一种美国看涨期权,其完成的预期现金流的现值与执行价格等于所需的支出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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