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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
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
Authors and Affiliations
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Universität Karlsruhe (TH), Karlsruhe, Germany
Alexander Vollert
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McKinsey & Company, Inc., Stuttgart, Germany
Alexander Vollert
Bibliographic Information
Book Title: A Stochastic Control Framework for Real Options in Strategic Evaluation
Authors: Alexander Vollert
DOI: https://doi.org/10.1007/978-1-4612-2068-8
Publisher: Birkhäuser Boston, MA
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eBook Packages: Springer Book Archive
Copyright Information: Birkhäuser Boston 2003
Hardcover ISBN: 978-0-8176-4258-7Due: 13 December 2002
Softcover ISBN: 978-1-4612-7401-8Published: 21 October 2011
eBook ISBN: 978-1-4612-2068-8Published: 06 December 2012
Edition Number: 1
Number of Pages: 288
Topics: Probability Theory and Stochastic Processes, Finance, general, Applications of Mathematics, Computational Mathematics and Numerical Analysis, Statistics for Business, Management, Economics, Finance, Insurance