Business-valuation

This workbook was written as a companion to "Mortgage-Backed Securities" by Davidson and Herskovitz. Frankly, I think this book works much better on its own and I would recommend Fabozzi's "Handbook of Mortgage-Backed Securities" instead as a general guide to the subject. The workbook confines itself to a limited number of topics but it covers these very well. Beginning with simple cash flow and yield calculations, the authors move on to provide guidance on (simple!) prepayment modelling, basic structuring, the yield curve and regulatory tests. The approach is attractively practical, and I think of this text as a useful secret weapon to have up one's sleeve.

While you can use this workbook with the text, it is also very useful by itself. In fact, I didn't know it was a companion to a book until after I bought it.

The topics are covered in enough detail to answer all those small questions I have. In addition, it's the only book I've found that leads the reader through the details of building a simple prepayment model. There are some advanced questions in the book for more mathematically inclined readers.

Best book I ever red about mortgage-backed securities. I recomend this book for everyone who work with mort.back securities.

Very rigorous and methematically precise, but how can this text not even mention Ito's lemma? Well, because it isn't really a "sequel to Brownian Motion and Stochastic Calculus by the same authors" but more like the second half of that book. Unless you have their BM&SC or another similar reference by your side you won't get very far . . . and this fact is not at all apparent from reading the editorial description or jacket review.

For a self-containted text with both the basic math background AND the finance I recommend either Lamberton and Lapeyre (fairly complete but with some technical proofs referred to BM&SC) or Joshi (lots of applications, less mathy). Neither of these will be as comprehensive or rigorous as the 2-volume Karatzas and Shreve but both are good introductions to the subject.

The application of highly sophisticated mathematical techniques to finance is now commonplace and is considered also of great practical importance. Mathematical modeling in finance is now very entrenched in investment houses and trading firms and this will only increase in years to come. This book is an excellent overview of mathematical finance and is written for mathematicians who have no background in finance. The book could be read easily by anyone with background in stochastic processes at the level of the author's earlier book "Brownian Motion and Stochastic Calculus". Since it is written for mathematicians, it follows a "definition-theorem-proof" format. However the authors do interject a lot of explanation into the dialog, especially that concerning finance.

Chapter 1 is an overview of a Brownian motion model of financial markets. Financial assets are considered to have prices evolving continuously in time and driven by Brownian motion. They do however g!ive references for models that assume discontinuous asset prices. The authors define a financial market rigorously in terms of (progressively) measurable processes for the risk-free rate, mean rate of return, dividend rate, and volatility. The after a discussion of portfolio, gains, income, and wealth processes, the authors define a notion of a viable market, namely one where there are no arbitrage opportunities. They then define standard and complete financial model and characterize their properties in terms of martingales.

Chapter 2 is a treatment of options pricing theory, with the assumption of a complete standard, financial market. These contingent claims are given a brief historical introduction at the beginning of the chapter. European contigent claims are treated first, followed by a discussion of forward and futures contracts. The Black-Scholes option pricing formula is then derived. American contingent claims are then discussed and defined as an income proc!ess and a settlement process. With the assumption that the discount payoff process is bounded from below and continuous, the value of the American contingent claim is given in terms of the Snell envelope of the payoff process. The discussion illustrates the difficulties in valuing American claims, based as they are on an arbitrary exercise time.

Chapter 3 is a study of a "small" single investor who begins with an initial endowment and invests in a standard complete market. The discussion reads more like one from a book on utility theory and portfolio analysis. Indeed, the Legendre transform of the utility function appears when attempting to mazimize utility from consumption plus expected utility from terminal wealth. The (nonlinear) Hamilton-Jacobi-Bellman equation appears in thes considerations as expected.

In chapter 4, the equilibrium problem is considered. In such a model, security prices are determined by the law of supply and demand. There are a finite !number of agents with utility functions and there are endowment processes. The endowments can be traded via a financial market of stocks and money market funds. The goal of the chapter is to find the equilibrium condition where endowments are consumed and the net supply of securities is zero. The authors give a rigorous proof of the existence and uniqueness of equilibrium. In addition, they give interesting examples of equilibrium markets that can be computed explicitly.

The next chapter is much more involved and studies how to do arbitrage pricing in incomplete markets. Portfolio constraints force the market to be incomplete, and the authors show how buyers and sellers in such a market can calculate the hedging price of a claim in terms of "dual" processes in a family of auxiliary markets. Since this is a constrained optimization problem, one would naturally think Lagrange multipliers would appear, and this is indeed the case, with the dual processes being the analog!ue of Lagrange multipliers. The usual unconstrained problem then is the result of this. Their approach here is extended in the last chapter of the book where the problem of optimal consumption and investment in a constrained financial market is considered. This is specialized to a deterministic case and the dual to the constrained problem satisfies a linear Hamilton-Jacobi-Bellman equation. This duality between the Lagrangian and Hamiltonian points of view is not surprising to the astute reader (and particularly the physicist reader).

The book is challenging. But if you want to do real good work in finance. You must read it.

Good book on deal structure, but if you want a valuation number, check out "Unlocking the Value of Your Business".

A must read not only for beginners but also for practicioners. This book provides something different than other M&A / valuation books that I've read. It explains various techniques and structures of M&A transactions in a way that has never been explained in other books. The basic definitions are there to explain the most basic things, but the author gives examples to show the application of a real life situation. Note that although the book provides modeling examples, it doesn't go through them line by line. So for those of you who try to get to know how to create a spreadsheet model, this is not the book, but if you want to know, say, the implication of a structure to a tax basis of the merging entities, this is the one to have.

This book doesn't pretend to be a dictionary, as most text books do. It is highly focused on M$A on the valuation side and the book is well organized and easy to follow. The book does not (and should not) include everything about M&A, but everything included in the book is well describled and supported by examples. Unless some technical text books, this one is actually written by English (maybe it's because the author is not a PhD) and that makes the book very readable.

I liked this book. In Russia it is one of the most popular books on valuatuion. But when I can get the perfect excel support for Investment Valuation by Aswath Damodaran or good web support for Valuation Methods and Shareholder Value Creation by Pablo Fernandez, I ask the authors, why don't they put supporting material in disk? I think that the price of their sowtware ($94.50) is too high compairing with the book ($56 with discount), because there is no supporting materials - only 1 spreadsheet (from my point of view does not conform to McKinsey, as the leader of consulting business). I hope, for the 4-th edition we will have a good excel support.

I hoped that McKinsey would have something new to say on this subject. There are two corporate finance texts and various finance books that cover the ground better or at least as well, so it is hard to see why this book was written.

In light of recent corporate shenanigans with off-balance sheet products, it is unforgiveable that this book doesn't address how lack of value can be disguised using off-balance sheet products. Total return swaps, an off-balance sheet financing tool, isn't discussed, and credit derivatives, another off-balance sheet tool aren't even discussed. For coverage of these topics and offshore vehicles, read "Credit Derivatives" by Tavakoli.

This book provides excellent information about the DCF Valuation process. The reader will learn how to develop the model and where to input the various data, as well as understand how to justify some of the assumptions such as cost of equity. The disk that accompanies the hardcover addition will be very useful to some practitioners, although analysts with strong modeling skills will likely want to create their own spreadsheet. The book, however, is not a comprehensive guide to valuation, as it does not discuss other methods such as the peer group comparison. Nonetheless, it is an excellent reference book on the topic of DCF Valuation, and it belongs on every financial analyst's desk.