Real Options, Risk Aversion and Markets: A Corporate Finance Perspective

41 Pages Posted: 29 Nov 2018 Last revised: 28 May 2020

See all articles by Christian Oliver Ewald

Christian Oliver Ewald

University of Glasgow; Høgskole i Innlandet; Umeå University - Department of Mathematics and Mathematical Statistics

Bart Taub

Glasgow University

Date Written: April 21, 2020

Abstract

We analyze how the presence of financial markets effects the optimal exercise of real options for a risk averse agent. In this process we examine the role of the minimal martingale measure and the Capital Asset Pricing Model (CAPM). Using value-matching and smooth-pasting conditions, we generalize results of Shackleton and Sodal (2005) for the one-dimensional complete market case and extend their framework to a multi-dimensional incomplete market setup, identifying the minimal martingale measure as the appropriate reference measure, consistent with the CAPM.
We provide a characterization of the optimal exercise rule in terms of the capital market line. Our approach allows us to unambiguously characterize the effect of systematic risk on the speed of exercise of the option, but we also show that the effect of idiosyncratic risk can contravene conventional belief.
Finally we demonstrate in form of numerical examples that it is indeed crucial to correctly account for the presence of financial markets and its interplay with risk aversion when exercising real options, as otherwise large financial losses can occur.

Keywords: Finance, Real Options, Risk Aversion, CAPM, Optimal Stopping

JEL Classification: G11, G31, C61, D81

Suggested Citation

Ewald, Christian Oliver and Taub, Bart, Real Options, Risk Aversion and Markets: A Corporate Finance Perspective (April 21, 2020). Available at SSRN: https://ssrn.com/abstract=3289100 or http://dx.doi.org/10.2139/ssrn.3289100

Christian Oliver Ewald (Contact Author)

University of Glasgow ( email )

Adam Smith Building
Glasgow, Scotland G12 8RT
United Kingdom

Høgskole i Innlandet ( email )

Lillehammer, 2624
Norway

Umeå University - Department of Mathematics and Mathematical Statistics ( email )

Samhallsvetarhuset, Plan 2
Umeå, SE 901 87
Sweden

Bart Taub

Glasgow University ( email )

Glasgow
United Kingdom

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