Johnathan Mun has previously published a number of very popular books dealing with different aspects of risk analysis, associated techniques, and tools. This last publication puts all the pieces together. The book is really unavoidable for any professional who wants to address risk evaluation following a logical, concrete and conclusive approach.

A must read for product portfolio managers… it captures the risk exposure of strategic investments, and provides management with estimates of potential outcomes and options for risk mitigation.

Mun demystifies real options analysis and delivers a powerful, pragmatic guide for decision makers and practitioners alike. Finally, there is a book that equips professionals to easily recognize, value, and seize real options in the world around them.

…this book is a must have and must read… Dr. Mun’s new book is a refreshing, cutting-edge look at a powerful new decision making process… it isn’t often you can truthfully say a book breaks new ground, but [this book] has certainly done that.

Real Options Analysis is the clearest book on real options that we have read to date. It does an excellent job of demystifying a difficult and complex subject. It provides a solid basis for conceiving, assessing, and evaluating real options investments, which will make it useful to practitioners and students alike.

Many books on real options can be intimidating. Mun offers a pragmatic, reliable and entertaining guide. Complex concepts and formulas are brilliantly interspersed with well-chosen examples and step-by-step walk through from a variety of industries.

…finally, a real options analysis book that is technically sophisticated enough to be useful, and practically written so that it can actually be used. It is destined to become the handbook of real options.

Strategy development has fallen on hard times being judged not relevant for a rapidly changing world. With this book, Dr. Mun attacks this poor excuse head-on by presenting a clearly organized, tool-supported methodology that logically progresses from exploring uncertainty that bounds risk to the creation of options for constructing realistic business strategies.

…written from the viewpoint of an educator and a practitioner, his book offers a readable reference full of insightful decision making tools to satisfy both the novice and the experienced veteran.

Dr. Johnathan Mun has been able to put together both the learning approach and teaching materials that make the changing of our cognitive schema of how we manage risk into a digestible form. Since the future of business is focused on vigilant decision making, the approach that Dr. Mun utilizes is by far one of the most effective mechanisms for supporting corporate sustainability.

This text provides an excellent follow up to Dr. Mun’s first book, Real Options Analysis. The cases in the Real Options Analysis Course provide numerous examples of how the use of real options and the Real Options Toolkit Software can assist in the valuation of strategic and managerial flexibility in a variety of arenas, with many practical and useful examples.

The book leads the field in real options analytics and is a must-read for anyone interested in performing such analyses. Dr. Mun has made a formidable subject crystal clear and exponentially easy for senior management to understand. Monte Carlo simulation and real options software alone is worth the book price many times over.

Mun provides a very practical step-by-step guide to applying simulations and real option analysis—invaluable to those of us who are no longer satisfied with conventional valuation approaches alone.

Dr. Mun’s latest book is a logical extension of the theory and application presented in Real Options Analysis. More specifically, The Real Options Analysis Course presents numerous real options examples and provides the reader with step-by-step problem solving techniques. After having read the book, readers will better understand the underlying theory and the opportunities for applying real option theory in corporate decision-making.