Derivative-security

Don't be fooled by the name of the Springer series where this book appeared: if you are looking for a nice list of examples and applications, then this book may be ok, but otherwise, this is not the place to look for proofs and rigorous results.

Very well written book , all you need to know about MC Methods.
If you want to buy one book buy this one, if you have deep pockets then may be you should get the Peter Jaeckal book along with this. There is another introductory book on Simulation by Sheldon Ross.

This is the best book I've read in the last year on mathematical finance. It is a tightly focussed text on Monte Carlo methods no more no less. So you won't find things like day count fracs because that's not what it's about.

Glasserman is a true expert on the topic. My highlight was the chapter on variance reduction where the vast amount of detailed knowledge taught me a lot, although I implement monte carlo pricing models on a day to day basis.

I'm an interest rate professional with more than 10 years of successful pricing and trading experience, and I enjoyed and appreciated Riccardo Rebonato's clear presentation of the pricing of these derivatives. I keep this on my desk as one of my key references.

Another great read is "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.

It's hard to believe a reviewer with such a myopic view of Derivatives pricing could go through the whole book, understood it and found time to rate it. Mindblowing waste of time !
Few hundreds years ago, he would have recommended burning the Madmen claiming the earth was round.

Anyway, while Derivatives Pricing achieves little for the welfare of mankind, the recent need for assets based on ever complex market scenarios calls for a more refined pricing methodology. There no supply and demand here, only customers who want hedge/trade/tradge assets /liabilities and traders who need to make sure their firms don't go burst when market move.

The author answers that demand by formatting and publishing his papers.

My avid reading kept jostling out superb hot ideas from this book. Rebonato carries out a comprehensive survey of the LIBOR market model. He tackles historical background, calibration, and effective implementation. The later chapters also cover extensions to the LIBOR market model to take account of smile and skew. In particular, there is extensive discussion of the cutting-edge Joshi-Rebonato stochastic-vol, displaced-diffusion LIBOR market model.

If you are working on the pricing of exotic interest rate derivatives, this book is a must buy.

This book is commendable to those looking for a quick practitioner's introduction to established numerical techniques in derivatives modelling. It is compehensive enough to get you ready to code your own models immediately, using your own choice of finite difference or Monte Carlo schemes.

This is not to say that there are no analytic solutions presented in this book. Quite the opposite: I found the fact that a good third of the space is taken up by investigations into analytic models somewhat disappointing, as that is perhaps the area where Mathematica gives you the least advantage over other platforms.

The part dealing with finite difference and Monte Carlo schemes is excellent, however. The mathematics of the models is introduced in a very clear and concise fashion, and after this no-nonsense introduction you get straight into coding things up in Mathematica.

Against the background of the high-quality discussion of the issues that do find their way into this book, the number of currently important topics that are lacking treatment is regrettable. I would have particularly liked to see examples of inverse problems, letting Mathematica do the work of calibrating model parameters to more market observables than e.g. just constant stock volatility. Wouldn't we all love to use Mathematica for the calibration, as well as the evaluation and benchmarking of such hotly discussed models like stochastic volatility models or local volatility models? How much time we could save by not having to code all these steps in C++ or worse environments! It seems it would have been a small step for the author to take us that little bit further along, but a large step for the majority of the readership who doesn't share the author's proficiency in the use of Mathematica. Still, if this more advanced level of usage is your aim, the book will at least start you off on the right track.

My comments are confined to the chapters on trees and finite difference methods, because that was my primary interest in buying the book. I'll say one positive thing about this book -- it does touch on many pitfalls of pricing derivatives with numerical methods such as finite differences and trees.

However my chief complaint is with the way the (very interesting and important) contect is presented -- Shaw simply contents himself with showing pages and pages of mathematica code, which is ugly and annoying to read. He doesn't even use indentations or keyword-highlighting to make the Mathematica code easier to read. What an unbelievable four-letter-word mess! Many mathematical concepts are buried within Mathematica code. A much better book would have resulted if he sat down and presented math as math rather than as Mathematica code. Very disappointing work from a writer who clearly seems to have an in-depth knowledge of finite difference methods.

I found William Shaw's book fascinating when I first bought it back in 1999 and have recently gone back to it for some further insight on some complex problems in finance.
It is a well-structured book that requires a basic understanding of both quantitative finance and Mathematica before you can really get to grips with it BUT having said that the complexity that the author gets to is excellent.
I would recommend this book to anyone in University studying for a Quant-rlated finance Masters or PhD - and anyone practicing in the real world - this should be on your shelf alongisde your copy of Mathematica.

This collection of speeches from the early/mid 1990s would be more correctly titled "Merton Miller on Regulation." Some of the speeches indeed cover the regulation of the derivatives markets. The speeches make for good reading, but this book is not a reference work for one's library. Good speeches must be relatively simple and entertaining. These are. But one should not expect a rigorous investigation of regulation (nor of derivatives regulation) in this book. The advertising on this book is misleading. This is not a book written by Merton Miller. It is a good collection of speeches given by him.

Merton Miller, who died in 2001, was an outstanding figure in modern economics. He was one of three financial economists to win the Nobel Prize for Economics in 1990, in his case for his work on the capital structure of corporations - a field that, with his associate Franco Modigliani, he revolutionised if not invented. His great insight was that the value of a company, other things being equal, is invariant with regard to the mix of debt and equity that makes up its capital structure - or, to invoke one of Miller's own picturesque analogies, if I take a dollar out of my right pocket and put it into my left pocket, I am no better off.

This book is a collection of speeches given by Miller in the early to mid-1990s, largely covering the subjects of the derivatives revolution, regulation and corporate governance. The subject matter sounds dry; the speeches are anything but. Miller's jokes are exceptionally good - he has great sport in particular by satirising the convoluted German system of corporate cross-shareholdings, and reflecting ruefully on the inevitable question that is always posed to professional economists ('what will happen to interest rates?' - to which the only sensible answer is 'they will fluctuate'). But underlying the wit and engaging manner is a serious and profound point. Modern finance consists principally in the management of risk. Derivatives perform an exceptionally valuable function in a modern, complex economy by enabling economic agents to accomplish this end. Ill-conceived regulation can do harm by making it impossible for corporations to manage their business risk efficiently; this will have significant economic cost, with no compensating social benefit.

Many collections of speeches are testament merely to an author's vanity, and do not last beyond the occasions for which the speeches were written. This one is different: it is the fruit of an extraordinary intellect, a fine prose style, and a formidable technical expertise. It deserves to last, and is much to be recommended.

Accidently I met this book on the lecture-the one about the risk management.I guess Merton Miller is a great story teller. And most of them are full of wisdom and financial philosophy. The M&M theory is one of the milestone in the finance which does intrigue a lot of work about Leveage buyout,coporate governace,etc. This one also contains a lecture he gave in the Royal Swedish Academy of Sciences in Stockholm for his Noble prize winning.The one is titled "Leverage". I guess I am moved

and totally.....Mr. Miller has many greatest students,as you know,the one is Fama, another great scholar in the finance society.This book is a collection of his lectures he gave before.Unfortunately, Mr. Miller died in June,2000.So this one seems turn out to be the last fine words he gives us.

The author did a great job in putting mathematical concepts in simple language.