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Paul Wilmott on Quantitative Finance 3 Volume Set (2nd Edition) 2nd Edition

4.1 out of 5 stars 19 customer reviews
ISBN-13: 978-0470018705
ISBN-10: 0470018704
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Editorial Reviews

Review

"...a very good first textbook on quantitative finance, especially, not only, for mathematics who need introducing into finance". Zentralblatt MATT May 2008 "...a very good first textbook on quantitative finance, especially, not only, for mathematics who need introducing into finance".Zentralblatt MATT May 2008

From the Back Cover

The first volume of Paul Wilmott On Quantitative Finance Second Edition, MATHEMATICAL AND FINANCIAL FOUNDATIONS; BASIC THEORY OF DERIVATIVES; RISK AND RETURN.

In this volume the reader is introduced to the fundamental mathematical tools and financial concepts needed to understand quantitative finance, portfolio management and derivatives. Parallels are drawn between the respectable world of investing and the not-so-respectable world of gambling.

Key chapters in this volume are

  • The Random Behavior of Assets
  • The Black-Scholes Model
  • The Black-Scholes Formulae and the â??Greeksâ??
  • Early Exercise and American Options
  • How to Delta Hedge
  • Fixed-income Products and Analysis: Yield, Duration and Convexity
  • Swaps
  • The Binomial Model
  • How Accurate is the Normal Approximation?
  • Investment Lessons from Blackjack and Gambling

The author has included numerous Bloomberg screen dumps to illustrate in real terms the points he raises, together with essential Visual Basic code, spreadsheet explanations of the models, the reproduction of term sheets and option classification tables.

In addition to the practical orientation of the book the author himself also appears throughout the book â?? in cartoon form, readers will be relieved to hear â?? to personally highlight and explain the key sections and issues discussed.

 

The second volume of Paul Wilmott On Quantitative Finance Second Edition, EXOTIC CONTRACTS AND PATH DEPENDENCY; FIXED INCOME MODELING AND DERIVATIVES; CREDIT RISK. I

n this volume the reader sees further applications of stochastic mathematics to new financial problems and different markets.

Key chapters in this volume are

An Introduction to Exotic and Path-dependent Options

  • Derivatives and Stochastic Control
  • Equity and FX Term Sheets
  • One-factor Interest Rate Modeling
  • Empirical Behavior of the Spot Interest Rate
  • The Heath, Jarrow & Morton and Brace, Gatarek & Musiela Models
  • Fixed Income Term Sheets
  • Value of the Firm and the Risk of Default
  • Credit Risk
  • CrashMetrics
  • Derivatives **** Ups

The author has included numerous Bloomberg screen dumps to illustrate in real terms the points he raises, together with essential Visual Basic code, spreadsheet explanations of the models, the reproduction of term sheets and option classification tables.

In addition to the practical orientation of the book the author himself also appears throughout the book â?? in cartoon form, readers will be relieved to hear â?? to personally highlight and explain the key sections and issues discussed.

The third volume of Paul Wilmott On Quantitative Finance Second Edition, ADVANCED TOPICS; NUMERICAL METHODS AND PROGRAMS.

In this volume the reader enters territory rarely seen in textbooks, the cutting-edge research. Numerical methods are also introduced so that the models can now all be accurately and quickly solved.

Key chapters in this volume are

  • Defects in the Black-Scholes Model
  • Overview of Volatility Modeling
  • Volatility Smiles and Surfaces
  • Stochastic Volatility
  • Uncertain Parameters
  • Empirical Analysis of Volatility
  • Stochastic Volatility and Mean-variance Analysis
  • Volatility Case Study: The Cliquet Option
  • Crash Modeling
  • Static Hedging
  • Interest-rate Modeling Without Probabilities
  • Modeling Inflation
  • Energy Derivatives
  • Real Options
  • Life Settlements and Viaticals
  • Finite-difference Methods for One-factor Models
  • Monte Carlo Simulation and Related Methods
  • Numerical Integration and Simulation Methods
  • Finite-difference Programs
  • Monte Carlo Programs

The author has included numerous Bloomberg screen dumps to illustrate in real terms the points he raises, together with essential Visual Basic code, spreadsheet explanations of the models, the reproduction of term sheets and option classification tables.

In addition to the practical orientation of the book the author himself also appears throughout the book â?? in cartoon form, readers will be relieved to hear â?? to personally highlight and explain the key sections and issues discussed.

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Product Details

  • Hardcover: 1500 pages
  • Publisher: Wiley; 2 edition (March 6, 2006)
  • Language: English
  • ISBN-10: 0470018704
  • ISBN-13: 978-0470018705
  • Product Dimensions: 7.4 x 4.3 x 9.7 inches
  • Shipping Weight: 8.9 pounds
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (19 customer reviews)
  • Amazon Best Sellers Rank: #1,020,919 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

Format: Hardcover
Paul Wilmott has made quantitative finance his life's work, and this (now three volume) collection of his explications of his own fundamental work and the aggregation of the dispersed work of others is a welcome reference library in a field of increasing density.

Here is the bad news; it doesn't contain everything.

Here is the good news: it doesn't contain everything.

And thank God, because if Wilmott had gone through each topic in the rigorous theorem-proof of yellow-spine Springer books we'd be old men before we got finished.

Wilmott's critics usually center around three areas: tone, incompleteness (or sloppiness), and emphasis.

On emphasis, Wilmott's strengths is his own material in partial differential equations (PDE approach), which makes sense as his earliest background was in the mathematics of fluid dynamics. Some readers, therefore, may detect that there is a heavier hand on PDEs over other analytic or numeric approaches, etc. But like any novel, any collection and textbook must have a "spine" on which to build and reference other topics in extension and contrast.

On incompleteness, readers should consult the "Look Inside" feature for a list of topics, and recognize that quantitative finance is now a field so vast that no one volume can circumscribe the subject. Nevertheless, if there is one collection that covers the most interesting and common topics, it is this one (Hull's 6th edition leaves out some helpful chapters contained in the 5th edition, for example).

On tone, colleagues complain Wilmott glosses over important dimensions and has a flippant engagement with the material. My view is this criticism is simply one of preference.
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Format: Hardcover
I have used this book to teach a quantitative course on Fixed Income and Interest Rate Derivatives to those Master-of-Science students who are ready to enter the job market. Several of them got jobs in the quant finance industry as a result of this course. They told me what kind of questions they had on interviews, e.g., "derive the risk-neutral drift of the general HJM model." This interview question may sound intimidating to the uninitiated. But thanks to the extraordinarily simple exposition given in Wilmott, my students were able to answer this and many other such questions.

The math in this book is not complicated, if you read the book carefully. With some modest effort, you can figure out where the equations come from. Wilmott does a great job of showing only the relevant equations and hiding the less-important intermediate steps. Of course, if a reader bounces from section to section and expects to see everything clearly at the first glance, then he/she has unrealistic expectations of a quant book.

As for the comment by one of the reviewers about Wilmott's cartoons and jokes. There are quite a few of those. But you are free to ignore them if you think they distract you. It's always up to you what to read and what not to.
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Format: Hardcover Verified Purchase
I totally agree with the review of James Ward below. It really doesn't make sense to complain that a SUMMARY of any kind "doesn't cover x" or "glosses over y" because that's unavoidable.

However, I'd like to shed some light of how large the "non-coverage" can be. For instance, you may think that if you have read what Wilmott has to say on Fixed Income Securities, you are at least familiar with the basics, but that's not the case. If you are an entry-level quant looking for a job who claimed to "know the fixed income" you are likely to answer the first 2-3 fixed income interview questions, but fail the rest - unless you add, like, 500 or more pages of fixed income material to what is given in Wilmott.

So if your goal is to be able to claim (even a basic) knowledge of a certain QF topic in your resume, it's necessary to purchase a few good books dedicated entirely to that topic. And to find out what books are good, you don't really need Wilmott's references - using Amazon search and customer reviews should do the job.
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By mimark on June 29, 2008
Format: Hardcover
Wilmott compendium is nothing more but a summary of all the other books that he managed to publish thus far. This, however, is not the problem. The real problem is that his books continue to lack depth and applicability. None of the chapters will help you to solve real problems nor will it give you guidance of how to implement the models (which some few exceptions). If you are looking to buy a real comprehensive compendium on quantitative finance, which is full of state-of-the-arte examples, problems (problems that really count) and explanations go for the new Carol Alexander books on quantitative finance (part I-IV). She has set the industry standards.
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Format: Hardcover
This book was a big disappointment for three reasons: 1) it doesn't have a proper focus. Author wanted to cover everything and that's why the book is making sloppy impression, i.e. too wide and not too deep when it is necessary; 2) it doesn't help you as a quant in the everyday quant life. It doesn't show you how to backtest models, it doesn't tell you how to use all this knowledge in the practical way, it doesn't even tell about the robustness and out of sample testing; 3) it is an arbitrary collection of known theories with some unexplained extracts from the different fields which are not connected with each other in the logical way.

As the final accord: why the "quant bible" is based on the "normal" distribution. How long are we going to use all this useless in practice old concepts like Black-Scholes models etc?
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