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One very important problem though is the TOTAL LACK of empirical examples and comments on the practical relevance of the various models introduced, which is crucial in any applied field. The text does not give any insight into the limits of the models presented and may lead the uninformed reader to jump to dangerous conclusions as to the applicability of some of the models presented.
There is also a certain amount of lack of scientific transparency involved: the reader is shown two similar-looking curves, one representing geometric Brownian motion and one representing the FTSE index as a 'justification' of the lognormal model for stock prices. The inadequacy of the lognormal model for stock prices is a well known fact with important consequences and should be mentioned in a text meant for students and beginners. For example, little is said about the volatility smile, market imperfections and related issues.
In short, this book is a good introduction to "mathematical finance" -considered as a branch of probability theory, probably the best introductory text written to this day. However it remains a book written by mathematicians with little relevance to finance or (real) financial markets.
Nevertheless, I enjoyed reading it!
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Now if you are looking to sit down, relax, and peruse over the collectibles market, this book is fun to read
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The ASP.NET section is almost useless - so few pages and so little information.
It would have been better if the book had been called .NET code access security and didn't bother with the other stuff.
Its only real failings are the lack of depth in a few obscure areas (details around simulating permissions that might be granted to an app deployed via the Internet and hosted in IE).
You could glean most of this information from the internet and spend a month doing it, like I did. Or spend $$$ and few hours reading this well written book.
This book is the definite security reference and guide to the new programming platform that Micrsosoft has shipped - and the only book of its kind on the market as far as I can see. It has been written by the people who have designed and implemented the security features and infrastructure in the .NET Framework that ASP.NET, C#, VB or Managed C++ applications run on.
Its stuffed with sample code and hands-on tips, and comes with extensive sections geared specifically towards developers and admins. Chapters are well contained and you get the kind of insider information only the people who have actually build and designed the system would be able to give you.
800 plus pages of security information for the Amazon price is quite a good bang for the buck,so I highly recommend this book as I think it will be a good learning aid in trying to understand .NEt security and remain valuable as a reference work afterwards.
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My first impression of Baxter & Rennie's 'Financial Calculus' was that it was unnecessary and a waste of money. My opinion reversed completely after realizing (under prodding by a physics colleague who's an expert on sde's) how badly Hull's approach to sde's really is. Also, the systematic derivation of Black-Scholes from the assumption of a replicating, self-financing strategy is very nice. As Feynman said, we don't really understand a result until
we can derive it from many different viewpoints. The method is not really different in principle from the standard short derivation given in Hull, but it does provide a nice, clear example of what is meant by replication and self-financing in the terminology of Brownian motion/sde's. A problem with the book is that one must first learn the rudiments of options elsewhere (Hull, Bodie & Merton): this is not a text for beginners.
A word of warning: empirically seen, the results presented by the book (Black-Scholes and near-B-S) are empirically wrong. The authors present the theory as if it would be biblical, handed down by god, giving the reader no hint that the economic-financial problems discussed there merely abstractly-mathematically are not at all solved by the models presented in the text. For example, the empirical returns distribution is very far from Gaussian and is volatile (the empirical returns diffusion coefficient depends on both returns x and time t) whereas the returns pde in the B-S model has a constant diffusion coeficient. In other words, typical of mathematicians and 'financial engineers' who are not concerned with fundamentals, B&R seem not to be bothered by the fact that the B-S theory cannot be patched up and saved by a perturbative approach. Instead, a completely different starting point than lognormal pricing is required (see my paper with Gunaratne on the empirical distribution of returns and correspondingly correct option pricing).