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AuthorVollert, Alexander. author
TitleA Stochastic Control Framework for Real Options in Strategic Evaluation [electronic resource] / by Alexander Vollert
ImprintBoston, MA : Birkhรคuser Boston, 2003
Connect tohttp://dx.doi.org/10.1007/978-1-4612-2068-8
Descript 288 p. online resource

SUMMARY

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


CONTENT

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


Mathematics Finance Applied mathematics Engineering mathematics Computer mathematics Probabilities Statistics Mathematics Probability Theory and Stochastic Processes Finance general Applications of Mathematics Computational Mathematics and Numerical Analysis Statistics for Business/Economics/Mathematical Finance/Insurance



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