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Discrete capacity choice problems in repeated and scaled investment

Research output: ThesisMaster's Thesis

Published

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Lancaster University, 2016. 64 p.

Research output: ThesisMaster's Thesis

Harvard

Luo, C 2016, 'Discrete capacity choice problems in repeated and scaled investment', MPhil, Lancaster University.

Author

Luo, Cheng. / Discrete capacity choice problems in repeated and scaled investment. Lancaster University, 2016. 64 p.

Bibtex

@phdthesis{a04bfe73a6aa42d4b20237545d890247,
title = "Discrete capacity choice problems in repeated and scaled investment",
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.",
author = "Cheng Luo",
year = "2016",
month = mar
day = "26",
language = "English",
publisher = "Lancaster University",
school = "Lancaster University",

}

RIS

TY - THES

T1 - Discrete capacity choice problems in repeated and scaled investment

AU - Luo, Cheng

PY - 2016/3/26

Y1 - 2016/3/26

N2 - 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.

AB - 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.

M3 - Master's Thesis

PB - Lancaster University

ER -