Investment-Valuation-Model

This is an essential book for anyone interested in evaluating credit risk. It is well written and one of the best in its class in the market.

For more on products, however, especially the explosively growing credit derivatives market, I recommend Tavakoli's "Credit Derivatives" 2nd Edition.

This is probably still the best book on the valuation of credit risk. It is concise, rigorous, yet with many examples and a good treatment of implementation issues.

This book discusses credit risk valuation in detail and quantitatively. The book is very strong on counterparty credit risk of derivatives. That is really the focus, though it also has stuff on general credit risk and credit derivatives (I wish it had more on credit derivatives). It also offers a chapter on general option pricing and risk-neutral valuation principles (brief but very good). What I also liked was the appendix with a short description of the more important and more advanced mathematical concepts used in the book. Although (or perhaps because) not an easy read but rather terse and demanding, I found it to be an extremely valuable resource. It really helped me understand the subject matter and gave me a good idea of how to model such risks.

This is an outstanding textbook that is worth every penny I spent on it. It has everything you need for an MBA in finance course on fixed-income securities.
This book is the only one on the subject that has several worked out examples and end of chapter problems and solutions. That is very useful if you want to master the subject. You will encounter plenty of practice opportunities.
All the other books-Tuckman, Fabozzi, Sundaresan, and the rest-while they make good reference books to have on your shelf, they are very poor textbooks to learn from.
If you want to master fixed-income securities, you need to have this textbook.

Thank you,

This book provide a visual approach to me to understand more what is the text talking about. It is very clear to me to learn and see the result of a portfolio. Very useful.

I bought this book to replace an older valuation book also by Damodoran. I'm a professional analyst and am quite familiar with valuations, and this book provides a very thorough and comprehensive guide. I bought it just in time to serve as guidance through a very heavy and comprehensive research project.

Everything I needed for the project was in the book, however one thing surprised and disappointed me: the organization. I simply don't see much of a logical flow in the chapter structure, so I think it would be more difficult to someone who wasn't already familiar with the basic structure of the valuation process. Why is market efficiency jammed between unrelated chapters? Why is the discussion and examples of the pro-forma capitalization of R&D split between distant chapters? Throughout a single project, one would have to keep the book marked in several diffent places, not neccessarily in the order that one would have to deal with the questions if one were doing a valuation. The result is that this book is less easy to use as a practical guidebook than it could be, and will keep one busy in the index looking for where subjects are addressed.

This is nit-picking however. Professor Damodoran is to be congratulated for producing such a high quality and comprehensive text on valuation.

For investors subscribed to discounted cash flows valuation (DCF), there is no other books that offer the kind of in-depth anlaysis (both in step-by-step description and available scenarios using real companies) like this book does. Plus, Professor Damodaran maintains a free website where Excel-based valuation models and industry data are periodically updated. These features make the book invaluable. In short, if I am allowed to buy only one investment book, this is the one.

But since I can buy as many books as I want, it would be more important to tell what this book does not do. First, it's always important to get a second opinion. In this case, it would be something other than DCF. Currently, DCF and relative valuation (such as PE and PV) are the dominent valuation methods used in the U.S. And yes, they are both covered in-depth by this book, in addition to the Economic Value Addded method which is gaining momentum in recent years. But this book essentially dismisses the income statements in favor of cash flows statements for valuing securities, preferring DCF to relative valuation. This is certainly understandable in lights of recent manipulation of GAAP income by offenders like Enron, WorldCom and Tyco. But I believe it's important for investors to hear the voice for income statements valuation method. For that investors should get James English's Applied Equity Analysis - another must-have - as a second valuation reference book. Secondly, this book uses CAPM model for finding the discount rate. Again, it is true that CAPM is the most widely used model in the U.S., but I came to a conclusion, after reading close to a hundred critically acclaimed articles published in the last fifty years as part of my MBA requirements, that factor models provide better tracking of stock prices than CAPM does. Unfortunately, there is no good book available. For institutional investors, they can have models from BARRA and Wilshire, etc, but individual investors would have to construct their own, probably (like me) using the Fama-French three-factor model. Description of their model is available mostly from theirs and other published papers. Data are available from Kenneth French's own website at Dartmouth. Now since you read all the way through my review, here is your reward: go to Damodaran's website and download the manuscript of this book for free if you are really frugal.

I have both the 1st edition and 2nd editions. It is the most logical and complete valuation text around. Takes you through valuation processes as well as compares various methods step-by-step, logically and rationally. I also have the McKinsey edition and although it's good, it cannot compare with Damodaran's in clarity of language and logical reasoning.

I have read this book... from a learning perspective of trying to learn what the theory behind options pricing is it is a great book. A lot of more recent topics are missing, but as a starter book for those who already price options/work in the industry without having learned all the theory (or in my case forgotten what they learned in school) it is a great read and a great reference.

This book covers quite a few fields (axiomatic probability, stochastic processes, financial theory) to the extent that they relate to valuation of securities. Naturally, the scope of coverage in such a brief tome (< 300 p.) is limited. It is written clearly and with precision, with sufficient number of exercises provided at chapters' ends. I would say that it goes to greater depth than Neftci, and is far more rigorous than Wilmott. Incomparably easier to understand than Merton. The only shorcomings I can find are relative paucity of examples and inadequate Index.

The language of financial derivatives is, arguably, the language of the modern theory of martingale stochastic processes. In this approach pricing contingent claims is reduced to finding an "equivalent martingale measure". Practitioners would think in terms of risk adjusted or risk neutral valuation. To understant this topic from an abstract and rigorous point of view is a daunting task restricted to a relatively small elite. For those seeking to learn the mechanics of this discipline a good foundation is well provided by the texts from Hull, Options, Futures and Other Derivatives, as well as Jarrow & Turbull, Derivatives Securities. These books present the intuition behind the formulas and how to use them in practical situations, but they do not show where the formulas come from and much less the mathematics necessary to prove them. Before the book under review was published, this task was attempted by other authors with mixed degrees of success. Here we briefly mention three of them. Baxter and Rennie's Financial Calculus (233 pages) is written in an informal fashion about deep mathematics and one has the feeling that the essence of the topics covered can be grasped and understood from it. However, behind this innocent style there is a huge amount of sophisticated machinery that, in my opinion, should have in part been presented in more detail. An instructor is left with the feeling that it could have been much more profitable to work a bit harder on the students and give them a more complete picture of the theory. Next comes Neftci's Mathematics of Financial Derivatives (352 pages). Its language is more accessible than Baxter and it gives a more detailed and extensive description on most topics. Mathematically, though, it falls short of current usage and rigour. The book by Musiela & Rukowski, Martingale Methods in Financial Modelling (511 pages), is far more difficult than any of these and should be read and understood only by a few. It requires previous knowledge of stochastic processes at the level of, for example, Probability with Martingales by D. Williams. The book under review is an excellent text for courses and for individual readers with a modest background in probability. There is no compromise with mathematical language and concepts. They are presented precisely and illustrated by examples without the burden of more technical theorem-proving approach in advanced mathematical texts. After introducing the idea of derivatives and risk-neutral valuation, it gives a summary of modern probability theory including measure, integral, conditional expectation, modes of convergence, characteristic functions and the Central Limit Theorem. This sets the framework for the rest of the book. Stochastic processes and finance in discrete time are not pre-requites for the much more complicated continuous time but serve as a pedagogical preparation for it. The Third and Fourth Chapters are dedicated to the discrete case and key concepts are carefully analysed. Information and filtrations are discussed as well as the important random walk processes as a motivation for the Brownian Motion. The culmination of these efforts is the proof of the Fundamental Theorem of Asset Pricing: in an arbitrage-free complete market there exists a unique equivalent martingale measure. A very readable discussion on binomial trees is given, including the proof that in the limit of small time increments one recovers from it the usual Black-Scholes formula for a call option. Chapters Five and Six are dedicated to stochastic processes and finance in continuous time. This includes filtrations, a sketch for the construction of Brownian Motion, quadratic variation of Brownian Motion, stochastic integrals and Ito calculus, stochastic differential equations, etc. A continuous version of the Fundamental Theorem is discussed but not proven. The main formula for risk-neutral valuation in terms of expected values is proven. A general result about the relationship with other approaches is that solutions to partial differential equations have a stochastic representation in terms of expected values (Feynman-Kac Formula). On p. 211 a discussion is presented regarding our knowledge concerning continuous time securities market in comparison to the discrete case.

If you are really interested in understanding the probabilistic foundations of modern financial derivatives theory, please consider seriously this book. Another reference, in the same spirit that I recommend is the excellent notes from Shreve, Stochastic Calculus and Finance, which is not yet in book form. After reading the text by Bingham and Kiesel you will gain a solid background well worth the effort and will be able to read profitably most of the contemporary texts and articles on this subject.

As everyone will agree, this is a good book in valuation tools. With different version of the DCF models, this book is one of the ideal desk reference of security analysis. However, if you also look at the book "Investment Valuation" by Professor Damodaran, you will agree that this one is only a short version of "Investment Valuation". Almost every topic is covered (or copied) from "Investment Valuation".
I gave "Investment Valuation" a 5-star rating. So, for its short version, I give 4-star.

The book is mainly aimed at valuation practitioners and MBA sudents. The book deals with 3 valuation techniques- DCF, relative valuation (based on PE, P/BV, PS multiples) and contingent claims (options). Great insights into determining key variables (PE, PS, P/BV) based on business fundamentals and pro and cons of using each approach. However, the book does not go into enough depth in CAPM and APT. The author assumes that the reader would have a fair idea about financial ratios, fundamentals etc. The best part of the book deals with valuation of special cases like cyclical firms, brands etc. and how corporate restructuring affects value. It also provides great insights into valuation for takeovers and mergers. The author provides a usable framework for valuing intangibles in an acquisition target- what the different sources of synergy are and how to value each in a lucid framework. Overall, a good book to gain a firm footing in investment valuation techniques.

This is an excellent book. It serves as both a course in valuation as well as a useful reference tool.

The book is heavily weighted to discounted cash flow analysis, though it also discusses relative valuation (like P/E multipliers) and contingent claims.

Clearly written the book presents in detail simple to complex DCF based models (dividend discount model, free cashflow to equity and free cashflow to the firm). This range of models deal with the complex valuation problem of variable growth. After presenting a model, its limitations and best uses are explained.

He then shows how these models can be used to derive P/E, P/S, and P/BV ratios from fundamentals.

Abundant examples are used to make the material clear.

The book also discusses special situations, e.g., cyclical firms, and distressed firms to mention just a few.

At first glance this book might be mistaken for a "cook book". Lots of formulas and detailed examples of how to work them.

But there is more. And this is where the real "meat" of the book is - underpinning the seeming forest of details and examples - is a valuation logic and philosophy.

If you read this book carefully, you will develop an appreciation for the impact certain fundamentals have on valuation and how they interact with one another. This is much more important than memorizing the formulae in the book.

Also there is some very useful and frank discussion of shortcomings in some of the tools used, including the CAPM and a warning about being seduced into believing that the DCF approach results in certainty.

Valuation involves estimates and formulas (or multiples) are simplifications of very complex real world dynamics. In the businss world, valuation is typically a process of estimating ranges of values for each of several methods chosen (e.g., DCF, market comparables, precedent transacions, replacement value, etc). The resulting matrix of values is then compared (in effect cross checked) to come up with a range of possible values. And here the differences between buyer and seller affect the outcome - different assumptions re the DCF or the cashflow and synergies that can be achieved - come into play to create two different matrices of values - from which the two parties then negotiate the actual price.

The book and its author are well regarded. This particular volume is used in AIMR's CFA study program - which is a measure of its worth.

This book is one more in the long line of books that takes an author's training in a field of science or engineering and then tries to export it wholesale into understanding the markets. I've seen it done with engineers using the principles of signal processing and torque, physicists using -- believe it or not -- general relativity, so I guess I should not be surprised someone would pull out the really big guns of modern physics. It may be fun for the author's fellow physicists, but speaking as a finance professional with a Ph.D. and nearly twenty years on Wall Street, there are a lot of other places I would be going to understand and implement contingent claim theory before I would invest the time or money in this book.

Although I am not specialized in the field of financial analysis, I believe that it is important and useful to quantitatively describe financial phenomena. Therefore, this new theory and new method will certainly contribute to the establishment of a standard model of financial analysis. I hope the publication of this book will help people to understand, improve and apply the theory, introduced from modern theoretical physics by the author, for practical application in financial analysis.

The recognition of patterns in natural systems is the most significant step towards the full understanding of the dynamics of such systems. In the context of financial markets, the degree to which one appreciates these dynamics is the degree to which one is profitable. Beliefs-Preferences Gauge Symmetry Group and Replication of Contingent Claims in a General Market Environment not only identifies the key concepts in the understanding of the financial markets, but also lays out a rich display of tools and applications with which to analyze financial phenomena.

From the book's outset, the emphasis is on the role and formulation of mathematical symmetries, which govern the evolution of quantities such as derivative payoffs or prices in the marketplace. The key concept is summarized in the words of the author when he conjectures that, "the absence of some type of arbitrage opportunity in the marketplace indicates the presence of a certain inherent symmetry." From this powerful observation, he proceeds to formulate the active degrees of freedom in the market (i.e. the market participants) and the symmetric implications of this statement. The identification of arbitrage opportunities, that is, the practical application of this observation, comes straight from basing oneself in this non-varying quality of the market and seeing where deviations exist. As such, Dr. Kholodnyi's book is a gift to financial practitioners. Only when one knows what the market should be doing can one appreciate the instances when the market is behaving in an unusual fashion.

Considered in a wider sense, the tools laid out in this text demonstrate the power of the symmetry principle. Physicists have long been accustomed to using gauged symmetries in the analysis of high-energy phenomena. By using the same techniques to understand an area as applied as the financial markets, Beliefs-Preferences Gauge Symmetry Group and Replication of Contingent Claims in a General Market Environment heralds the dawn of potential new technologies for such disparate areas of science as quantum mechanics and biological systems.

As these techniques mature in the sense of becoming widely available financial tools, Dr. Kholodnyi's book will become the standard text for a rigorous analysis of financial phenomena. The text requires a strong mathematical background and some familiarity with mathematical rigor. However, since rigor leads to reliability, the viability of any financial strategies will ultimately depend on the understanding of the tools laid out so cleanly in this text.

This book on interst rates is a pleasurable read. As a trader of interest rate swaps, I find every book on the topic adds something to my knowledge base, and this was better than most for ease of access. Anyone keen to understand all of the related markets, will also want to know more about credit derivatives.

I highly recommend "Credit Derivatives" (2nd Edition) by Tavakoli. The products and their uses are clearly explained, and ties in relative value to the interest rate market. I concede that the models for this product may be trickier because of documentation risk and data issues, but Tavakoli brings clarity to this topic so any interest rate professional can grasp the products and why investors - even hedge funds - are so keen to use them.

Good work, if only it was reliable... In a discipline where accuracy is so important, I am amazed it has been selling so well for so long. The book has plenty of formulae mistakes that make its reading and comprehension really difficult and painfully time-consuming as you need to go through correcting all those errors and read the chapters again and again. Still, even after such an arduous work, you end up not being 100% sure that what you have learnt is correct. Wiley should long ago have retired this edition from circulation and then market a new, thoroughly corrected one. Of course, those (many) unlucky readers who have bought this terrible (paperback) edition should receive a new one for free as soon as it is available. I feel I have been cheated!

Having an MBA and having worked in an investment bank, this is the best all around valuation book I've read. The most significant feature of this book is how the ideas are presented. The reader gathers new insights, and is exposed to the nuances of valuation technologies, which usually confuse even the practitioners. His website also contains several discussion points that supplement the well presented text. If you have to choose only one valuation book, this is it. This book rates highly not only because of the excellent coverage but more importantly how the examples and the ideas have been brilliantly crafted into a great learning experience. A great teacher surely shines in how he impart even the mundane ideas of basic valuation. Buy this book for the way he teaches, not only for the topics he discusses.

An outstanding book from the high-priest of valuation. Covers all major techniques and applications. However, not all that suitable for beginners or as an introductory text since some of the (slightly advanced) material is presented in a fairly condensed manner. Readers with a little experience in the area or students who have taken at least one finance course and understand the fundamentals of financial economics should find this book extremely useful, though. Great as a reference guide, too.

It's basically a collection of dumbed-down review articles on modern fixed income. There's not as much in here on option pricing as I would have wished, and if you consider yourself a reasonable technical person who's seen any fixed income trading before, it's not going to be that helpful to you.

It's a nice SUMMARY of the literature available for those who don't have the time to read it all first-hand. Since my primary interest is more towards equity exotics, the book was more than satisfactory for me. I'd say the target audience is non-fixed income exotics traders, quants without much background in fixed income, and academics.

The best article in the book is probably the one written by Das. He's one of my favorite authors and his chapter in this book is no exception.

My main complaint is that many portions of the book INSIST on using econometric models and pricing kernels rather than the DiffEq framework. For that reason, I like Paul Wilmott's presentaion of the math a little better. I find myself constantly referring back to "Derivatives" and translating what the guys in this book are trying to say.

As with most books in the field, it is also very poor at describing the implementation of the models presented.