A Stochastic Control Framework for Real Options in Strategic Evaluation

The theoretical foundation for real options goes back to the mid 1980s and the development of a model that forms the basis for many current applications of real option theory.

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The theoretical foundation for real options goes back to the mid 1980s
and the development of a model that forms the basis for many current
applications of real option theory. Over the last decade the theory
has rapidly expanded and become enriched thanks to increasing research
activity. Modern real option theory may be used for the valuation of
entire companies as well as for particular investment projects in the
presence of uncertainty. As such, the theory of real options can serve
as a tool for more practically oriented decision making, providing
management with strategies maximizing its capital market value.
This book is devoted to examining a new framework for classifying real
options from a management and a valuation perspective, giving the
advantages and disadvantages of the real option approach. Impulse
control theory and the theory of optimal stopping combined with
methods of mathematical finance are used to construct arbitrarily
complex real option models which can be solved numerically and which
yield optimal capital market strategies and values. Various examples
are given to demonstrate the potential of this framework.
This work will benefit the financial community, companies, as well as
academics in mathematical finance by providing an important extension
of real option research from both a theoretical and practical point of
view.