A Stochastic Control Framework for Real Options in Strategic Evaluation
(Sprache: Englisch)
The theoretical foundation for real options goes back to the mid 1980sand the development of a model that forms the basis for many currentapplications of real option theory. Over the last decade the theoryhas rapidly expanded and become enriched thanks to...
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The theoretical foundation for real options goes back to the mid 1980sand the development of a model that forms the basis for many currentapplications of real option theory. Over the last decade the theoryhas rapidly expanded and become enriched thanks to increasing researchactivity. Modern real option theory may be used for the valuation ofentire companies as well as for particular investment projects in thepresence of uncertainty. As such, the theory of real options can serveas a tool for more practically oriented decision making, providingmanagement with strategies maximizing its capital market value.This book is devoted to examining a new framework for classifying realoptions from a management and a valuation perspective, giving theadvantages and disadvantages of the real option approach. Impulsecontrol theory and the theory of optimal stopping combined withmethods of mathematical finance are used to construct arbitrarilycomplex real option models which can be solved numerically and whichyield optimal capital market strategies and values. Various examplesare given to demonstrate the potential of this framework.This work will benefit the financial community, companies, as well asacademics in mathematical finance by providing an important extensionof real option research from both a theoretical and practical point ofview.
Inhaltsverzeichnis zu „A Stochastic Control Framework for Real Options in Strategic Evaluation “
1 Overview.- 1.1 Background and Objectives of the Study.- 1.2 Organization of the Study.- 2 Introduction to Real Options.- 2.1 Basic Idea.- 2.2 Classification of Real Options.- 2.3 Discussion of the Real Options Approach.- 2.4 Conclusions.- 3 Real Options and Stochastic Control.- 3.1 Real Option Interactions and Stochastic Control.- 3.2 Introduction to Impulse Control and Optimal Stopping.- 3.3 Impulse Control Model for Valuing Real Options.- 3.4 Combined Impulse Control and Optimal Stopping.- 4 Valuing Real Options in a Stochastic Control Framework.- 4.1 Equivalence of Stochastic Control and Contingent Claims Analysis.- 4.2 Contingency Structure of Option Interactions.- 4.3 Example: Timing and Intensity of Investment.- 5 Extensions: Competition and Time Delay Effects.- 5.1 Competitive Interaction.- 6 Case Study: Flexibility in the Manufacturing Industry.- 6.1 Real Options and Volume Flexibility.- 6.2 Model.- 6.4 Numerical Analysis.- 6.5 Simulation Results.- 7 Conclusions and Extensions.
Autoren-Porträt von Alexander Vollert
The mathematical theory of finance, involves a stochastic framework in which the theory of real options can serve as a tool for practically
oriented decision making in the face of uncertainty. This book
examines a new framework for classifying real options from a
management and a valuation perspective, giving the advantages and
disadvantages of the approach. Impulse control theory and the theory
of optimal stopping are used to construct arbitrarily complex real
option models that can be solved numerically and yield optimal capital
market strategies and values. Various examples demonstrate the
potential of this framework.
Bibliographische Angaben
- Autor: Alexander Vollert
- 2012, Softcover reprint of the original 1st ed. 2003, 288 Seiten, Maße: 16,2 x 23,7 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 146127401X
- ISBN-13: 9781461274018
Sprache:
Englisch
Pressezitat
"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
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