A review of the operations literature on real options in energy
Selvaprabu Nadarajah and
Nicola Secomandi
European Journal of Operational Research, 2023, vol. 309, issue 2, 469-487
Abstract:
Real option models maximize the estimated market value of operational assets, exploiting the flexibility that decision makers have in managing these assets. Inspired by the valuation of financial options, their natural domains of application feature high levels of market or operational risk. The existence of financial markets that trade instruments associated with the inputs or outputs of the underlying processes facilitates the use of these models. The energy industry has thus received a substantial amount of attention within the real option and operations (management/research) communities. The extant work lacks a review of the operations literature on energy real options. We present a synthesis of this literature considering review categories that pertain to the phenomena it studies and the tools it uses to conduct its analysis. Further, we outline potential research directions.
Keywords: Finance; Energy; Real options; Operations (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221722007421
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:309:y:2023:i:2:p:469-487
DOI: 10.1016/j.ejor.2022.09.014
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().