Incorporating Managerial Information into Real Option Valuation

Fields Volume on Commodities, Energy, and Environmental Finance, Forthcoming

25 Pages Posted: 24 Dec 2010 Last revised: 27 Apr 2015

See all articles by Sebastian Jaimungal

Sebastian Jaimungal

University of Toronto - Department of Statistics

Yuri Lawryshyn

University of Toronto

Date Written: January 3, 2011

Abstract

The adoption of real options analysis (ROA) by practitioners, despite being widely viewed as a superior method for valuing managerial flexibility, remains limited due to varied difficulties in its implementation. In this work, we propose an approach that utilizes cash-flow estimates from managers as key inputs and results in project value cash-flows that exactly match the arbitrarily distributed estimates. We achieve this through the introduction of an observable, but not tradable, market stochastic driver process which drives the project's cash-flow, rather than modeling the project value directly. Our framework can be used to value managerial flexibilities and obtain hedges in an easy to implement manner for a variety of real options such as entry/exit, multistage, abandonment, etc. As well, our approach to ROA provides a co-dependence between cash-flows, is consistent with financial theory, requires minimal subjective input of model parameters, and bridges the gap between theoretical ROA frameworks and practice.

Keywords: Real Options, Managerial Information, Cash-Flow Replication, Indifference Pricing, Entry-Exit Problem

JEL Classification: G12, G13, G31, C60

Suggested Citation

Jaimungal, Sebastian and Lawryshyn, Yuri, Incorporating Managerial Information into Real Option Valuation (January 3, 2011). Fields Volume on Commodities, Energy, and Environmental Finance, Forthcoming, Available at SSRN: https://ssrn.com/abstract=1730355 or http://dx.doi.org/10.2139/ssrn.1730355

Sebastian Jaimungal (Contact Author)

University of Toronto - Department of Statistics ( email )

100 St. George St.
Toronto, Ontario M5S 3G3
Canada

HOME PAGE: http://http:/sebastian.statistics.utoronto.ca

Yuri Lawryshyn

University of Toronto ( email )

105 St George Street
Toronto, Ontario M5S 3G8
Canada

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
560
Abstract Views
2,863
Rank
85,825
PlumX Metrics