A Pragmatic Guide to Real Options

Aimed at practitioners with no prior expertise in the subject, this book helps readers build basic real options models to aid in decision-making. Providing a pragmatic and informative approach, the authors introduce basic probability theories, before putting these theories into a real-world context.

"Tom Arnold uses unique elements of presentation to build a friendly step-by-step guide to understanding and modeling the basics of real options. He gives many fully-worked examples and much careful advice for corporate decision makers. His book is a pedagogical gem!" - Timothy Crack, Chaired Professor of Finance, Otago University, New Zealand

"Tom Arnold's book introduces real options using a fresh approach that puts the concept of net present value center stage where it belongs. He takes the reader through the steps of valuing real options in meticulous detail, ideal for a reader new to the subject." - Graeme Guthrie, School of Economics and Finance, University of Wellington, New Zealand

Autorentext
Tom Arnold is F. Carlyle Tiller Chair in Business and Associate Professor of Finance at the University of Richmond, USA.

Klappentext

Aimed at practitioners with no prior expertise in the subject, this book helps readers build basic real options models to aid in decision-making. Providing a pragmatic and informative approach, the authors introduce basic probability theories, before putting these theories into a real-world context.

Zusammenfassung
Aimed at practitioners with no prior expertise in the subject, this book helps readers build basic real options models to aid in decision-making. Providing a pragmatic and informative approach, the authors introduce basic probability theories, before putting these theories into a real-world context.

Inhalt
Table of Contents 1. How Net Present Value (NPV) is Implemented 2. Making Decisions Sequential 3. Option Terminology and an Introduction to Binomial Trees 4. Binomial Trees, Risk-Neutral Pricing, and American Style Options 5. Applying Real Option Analysis with NPV-Embedded Binomial Trees 6. Applying More Real Options Analysis into an NPV-Embedded Binomial Tree 7. Implementing an NPV-Embedded Binomial Tree from an NPV Analysis 8. Real Option Analysis and the Black-Scholes Model