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Title: The Dark Side of Valuation by Aswath Damodaran ISBN: 0-13-040652-X Publisher: Financial Times Prentice Hall Pub. Date: 15 February, 2001 Format: Hardcover Volumes: 1 List Price(USD): $59.00 |
Average Customer Rating: 4 (5 reviews)
Rating: 3
Summary: 'Investment Valuation' with new title and cover
Comment: The Pros:
Damodaran is a gifted teacher and in his books is able as well to explain the concepts and techniques of valuation in an understandable manner. The book serves mainly for readers who want to get a comprehensible (and to a certain degree comprehensive) overview of the topics with selected in-depth discussions and it is quite 'readable'.
The Cons:
The book is not new at all, as about 90% is a copy of his earlier book 'Investment Valuation'. The only real difference is the selection of the examples used and the financial and market data are more current compared to his other book from 1994. It seems that the marketing department of the publisher saw an opportunity to sell a 'new' book to the new class of technology investors. However, the occasional comments of which valuation topics are specific to technology companies could be summarized on a couple of pages.
The book is good for giving a comprehensible overview but does not go very much into depth.
Effectively, it's the earlier book 'Investment Valuation' recycled with a new title and new cover, still a good book but not new at all.
Rating: 5
Summary: The best valuation book I have read!!!
Comment: Do you need to understand the basic fundamentals of valuation? Then this is the book you need. This book will take you through step by step on how to value a company and the assumptions you need to make. By far, this book is much easier to read and understand than the book "Valuation," written by couple of Mckinsey consultants.
Rating: 5
Summary: The best book so far on valuation from the investor's view
Comment: Although much of the organization and explanation of valuation techniques presented here repeats the presentation in Damodaran's previous books, he does two things which make this the better book than the previous books: 1) he discusses the role of "tech" companies in our economy and he selects 5 specific companies which serve as his examples in every chapter and 2) he makes reference to excel spreadsheets (available for free download on his web page) which he has prepared to allow readers to apply what they are learning immediately and with a minimum of set-up time. As tech companies play a larger and larger part in our economy, the specific quirks and issues related to the operation of tech businesses and the impact of those industry-specific issues on the valuation process become more important for us. One might argue that all companies, whether they are wine makers or processor makers, face industry-specific valuation issues which do not affect companies in other industries, and in light of that, many issues discussed here might not be relevant to the wine makers. But tech is so important to us now that we can no longer afford to use generic, non-tech specific techniques in the face of an increasingly tech-heavy stock market.
As for the reviewer who compained that Damodaran doesn't do enough work in real option theory: Damodaran says in this book exactly what needs to be said about real option theory: that it has very limited applications (which is not to say that it is not revolutionary within those limited applications) and that the push to broaden the use of real option valuation beyond its traditional applications can more often than not constitute misuse and abuse of the models. Not every investment contains options, and not all of those options have value, to paraphrase Damodaran himself. Damodaran doesn't ignore real options, of course: he calls them contingency claims (as they technically should be called) and dedicates a chapter to explaining there use and abuse. Using real options, when it comes down to it, involves building and solving partial differential equations based on stochastic processes. As any actuary or financial analyst could confirm, teaching stochastic processes presupposes a very strong math base and still would require an entire book. Damodaran did the right thing by limiting himself to a single, illustrative chapter.
The best part of this book is that thanks to Damodaran's congenial and accessible ability to write, this book can be read and prove valuable to people with a variety of needs. As an MBA student this book has been invaluable. But I even gave this book as a gift to my brother, a decidedly non-financial person, to replace his countless "How to Invest" books sitting on his bookshelf.
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