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Real Options Illustrated

  • Book
  • © 2016

Overview

  • Discusses well-known Real Options Approaches and its applications step-by-step without the use of complex mathematics
  • Enables readers to reproduce these models and apply it to their own field
  • Contributes to one of the key challenges of Real Options, which is to reduce the gap between theory and practice

Part of the book series: SpringerBriefs in Finance (BRIEFSFINANCE)

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Table of contents (4 chapters)

Keywords

About this book

This book explains the standard Real Options Analysis (ROA) literature in a straightforward, step by step manner without the use of complex mathematics. A lot of ROA literature is described through partial differential equations, probability density functions and simulation techniques, all of which may be unconvincing in the applicable qualities ROA possesses. Using this book, the reader will have a better grasp about how ROA works and will be able to provide his or her judgment about ROA, since all the basics, as well as its positive and negative qualities, are discussed.

Real Options Illustrated provides practitioners with a real options framework and encourages readers to study the methodology using the in-depth explanations. This introduction to ROA is sufficient to equip readers with ROA basics, enabling them to perform future independent research. From this book, readers can judge whether ROA is of any value to their field.

Reviews

“Real options analysis is an important tool in the process of evaluation of investment projects with a long time horizon, which are subject to internal and external uncertainties. … The book is interesting from a practical point of view. … it provides an explanation of the techniques of real option analysis, which could be useful for readers who would like to apply these techniques in practice.” (Piotr Nowak, Mathematical Reviews, March, 2017) 

Authors and Affiliations

  • University of Antwerp, Applied Economics, Belgium

    Linda Peters

About the author

Linda Peters, PhD Candidate on the field of Applied Economics at the University of Antwerp; Project Manager and Statistician Social Security at a government agency and Expert Social Protection for international projects. As a PhD candidate she is involved in the application of Real Option theory to Global Public Policy and her research contributes to bridge the gap between theory and practice. Her research interests include: Real Options, Global Public Policy, Social Protection, Models of Decision-Making, Probability Distributions.

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