A Stochastic Control Framework for Real Options in Strategic Evaluation

Authors: Vollert, Alexander

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About this book

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.

Reviews

"The book is written in a quite self-contained manner, and gives a nice survey of the results on the subject, old and new. Many graphics are provided along with theoretical illustrations to help explain the materials throughout the book. Numerical analysis as well as simulation are also provided in Chapter 6, which is particularly useful for both academic researchers and real world practitioners. Various examples are provided in the book in order to show the potential of the new framework. …Could also be used as a reference book or as a source of problems for stochastic controlists."

—Mathematical Reviews

"This book is devoted to developing both a stochastic control framework that is capable of dealing with complex real option interactions and a graphical decomposition method for real option models which can be transformed into numerical or analytical solution procedures."

—Zentralblatt Math

"The present book develops a framework of stochastic control for real options. The tools are stochastic impulse control systems leading to partial differential equations and variational inequalities. The book is particularly useful for readers interested in applications in management science."

—Monatshefte für Mathematik

 

 

 


Table of contents (7 chapters)

  • Overview

    Vollert, Alexander

    Pages 1-5

  • Introduction to Real Options

    Vollert, Alexander

    Pages 7-45

  • Real Options and Stochastic Control

    Vollert, Alexander

    Pages 47-83

  • Valuing Real Options in a Stochastic Control Framework

    Vollert, Alexander

    Pages 85-128

  • Extensions: Competition and Time Delay Effects

    Vollert, Alexander

    Pages 129-168

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-1-4612-2068-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.00
price for USA
  • ISBN 978-0-8176-4258-7
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
Softcover $119.00
price for USA
  • ISBN 978-1-4612-7401-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
A Stochastic Control Framework for Real Options in Strategic Evaluation
Authors
Copyright
2003
Publisher
Birkhäuser Basel
Copyright Holder
Birkhäuser Boston
eBook ISBN
978-1-4612-2068-8
DOI
10.1007/978-1-4612-2068-8
Hardcover ISBN
978-0-8176-4258-7
Softcover ISBN
978-1-4612-7401-8
Edition Number
1
Number of Pages
288
Topics