English, Article, Journal or magazine article edition: A fuzzy expert system for solving real-option decision processes Carlo Alberto Magni

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Bookmark: http://trove.nla.gov.au/version/120283
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • A fuzzy expert system for solving real-option decision processes
Author
  • Carlo Alberto Magni
Physical Description
  • preprint
Notes
  • This paper presents a new approach to real options. The current options-based models have provided new insights into capital-budgeting decisions. Unfortunately they are not widely used by corporate managers and practitioners as they are formally complex, rather difficult to understand and rest on strong implicit assumptions that considerably limit their scope of application. We propose a possible alternative by using a fuzzy expert system, on the basis of Mastroleo, Facchinetti and Magni (2001). We draw up a decision tree with multiple uncertain variables affecting the value of an investment opportunity, consisting of a defer option, a growth option, an abandonment option. Some simulations are conducted to test the economic soundness of the model as well as its consistency with the current models in the literature. A rather refined study can be accomplished by showing how inputs and outputs of the model interrelate one another.
  • RePEc:col:000162:005677
Language
  • English
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