DocumentCode
2842249
Title
Value Function Computation in Fuzzy Real Options by Differential Evolution
Author
Guerra, Maria Letizia ; Sorini, Laerte ; Stefanini, Luciano
Author_Institution
Dept. of Math. for Economic & Social Sci., Univ. of Bologna, Bologna, Italy
fYear
2009
fDate
Nov. 30 2009-Dec. 2 2009
Firstpage
324
Lastpage
329
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.
Keywords
evolutionary computation; functions; fuzzy set theory; stochastic processes; American type real options theory; differential evolution algorithm; economics; fuzzy extension; fuzzy numbers; optimization problems; stochastic processes; uncertainty model; value function computation; Algorithm design and analysis; Computer applications; Cost accounting; Design optimization; Fuzzy sets; Fuzzy systems; Intelligent systems; Investments; Multidimensional systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location
Pisa
Print_ISBN
978-1-4244-4735-0
Electronic_ISBN
978-0-7695-3872-3
Type
conf
DOI
10.1109/ISDA.2009.232
Filename
5364845
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