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Lancaster University

Discrete capacity choice problems in repeated and scaled investment

Abstract

dc:description.abstract

Most previous studies on real options are confined to the realm of continuous modelling while more practical discrete models are restricted by the methodology of solutions. This thesis applies the discount factor methodology to solve two scaling capacity choice problems: one is the scaling capacity expansions without switching options raised from Dxit and Pindyck (1994) and the other one is the case adding switching opportunities raised from Pindyck (1988). We respectively establish two discrete models for these two problems and examine their convergence to the continuous case by narrowing the discrete intervals. We verify with analytical inference and numerical results that the discrete models are soundly consistent with the continuous models, supporting the validity of the discount factor methodology.

Degree

thesis:*
Name dc:type.qualificationname
masters
Level dc:type.qualificationlevel
masters
Grantor dc:publisher.institution
Lancaster University
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Luo, Cheng
  • Shackleton, Mark
  • Pawlina, Grzegorz

Chain of custody

source
Harvested from
Lancaster University
Base URL
eprints.lancs.ac.uk/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
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citation

Luo, Cheng; Shackleton, Mark; Pawlina, Grzegorz. Discrete capacity choice problems in repeated and scaled investment. masters thesis, Lancaster University, 2016.