Simulation methods in real option valuation

Tero Haahtela*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Simulation is an efficient and versatile method for real option valuation. This paper presents different ways to take advantage of this numerical approach to valuing real investments with managerial flexibility under uncertainty. The methods discussed are classified into three categories: classical methods, simulated pseudo-underlying asset methods and advanced soft computing methods. Each category, with its typical methods and variants, is discussed according to its strengths and shortcomings from the practitioner's point of view, and then a comparison is made between the alternatives according to their usability and technical properties. The purpose is to show both researchers and practitioners the diversity of simulation-based real option valuation methods and what opportunities they provide when chosen to correspond to the valuation cases.

Original languageEnglish
Pages (from-to)487-517
Number of pages31
JournalInternational Journal of Operational Research
Volume25
Issue number4
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Decision-making
  • Financial modelling
  • Real option valuation
  • ROV
  • Simulation
  • Uncertainty

Fingerprint

Dive into the research topics of 'Simulation methods in real option valuation'. Together they form a unique fingerprint.

Cite this