Dynamic Asset Pricing Theory, Third Edition. (Princeton Series in Finance) Kindle Edition
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Top Customer Reviews
For the reader interested in the theoretical foundations of modern financial models, this book has three main advantages over many of its competitors:
- It clearly shows the link between modern finance theory and the 40-year old Arrow-Debreu model. As this book will make clear, financial assets can be viewed as "bundles" of Arrow-Debreu contingent goods, and pricing kernels are simply extensions of Arrow-Debreu contingent state prices.
- It bridges the gap between arbitrage models on one hand, and models based on consumption, optimization/dynamic programming and general equilibrium on the other hand. Absence of arbitrage guarantees the existence of a stochastic discount factor, or pricing kernel. Optimality implies that the stochastic discount factor must be equal to the investors' intertemporal marginal rate of substitution.
- It provides a unified treatment of discrete-time and continuous-time models. Many finance textbooks focus on the mathematic tools and emphasize the difference between continuous-time and discrete-time tools--usually at the expense of the economics underlying both types of models. In contrast Duffie's book emphasizes the conceptual unity between continuous-time and discrete-time asset pricing.
This book was written more for students and academics than for pratictioners. It is not a reference or a recipe book for traders and programmers. Several chapters are devoted to general-equilibrium models that pratictioners are not likely to find useful. However, the essentials of derivative asset pricing and the term structure are also covered.Read more ›
In the first four chapters the writer develops the discrete-time theory,in order to provide a better understanding of the underlying ideas which remain the same in the next chapters which deal with the continuous-time setting.
Although the book needs a lot of effort from the reader, it is unique in that can help you see beyond the mathematics. In other words it USES the mathematics and it isn't just a layout of theorems and proofs.
Of course it can't be compared with books like Hull as it isn't accessible to everyone. But someone with the mathematical preparation , who has read Hull , should buy this book and he will never regret it.
I maintain a scale of good versus bad mathematics writing in my head, against which I calibrate books I read. This scale stretches from, at one end, the faculty of Moscow University, in particular Israel Gelfand, Vladimir Arnold and Andre Kolmogorov, all of whom manage to explain to me hard things so that they seem easy, to, at the other, Darrell Duffie.
If you are new to the subject you will find it very hard to follow. Concepts are often defined purely in math terms with intuition given very sparsely if at all. Proofs are very terse (read incomplete) because everything "is easy to show" and annoyingly often, results are simply stated with the derivation "left as an exercise" leaving me wondering why Duffie uses precious space for those pointless remarks instead of actually explaining the material.
If, on the other hand, you already know the material the book might be useful as a reference due to its tersenes. However, I don't see why someone would bother to get used to new notation when they already know the material from somewhere else.
As another reviewer already stated, math requirements are quite high: real analysis, stochastic calculus, and measure theory at least and here again I doubt that someone might find the appendices helpful if they don't know the material already from somewhere else.
Also, I agree with someone else's comment that while finance can be tough, it is definitely not as tough as Duffie makes it to be. Of course there is always a trade-off between generality and presenting concepts in an easy way but just because something can be done with complex numbers does not mean that it has to.
In 2013, paying customers who fork over $60 (USD) for the electronic version of this book deserve more than a crappy HTML-ized version of the printed text where the equations do not scale properly or even line up with the baseline of surrounding text.
By flipping through the free sample provided above and comparing it with a copy of the print edition, one can quickly assess just how badly the publisher has wrecked the typesetting of the formulas by converting the text from native PDF to their own proprietary Kindle format. Only certain formats (PDF being foremost among them) can faithfully preserve all of the elegance and beauty that mathematical typesetting systems like LaTeX provide.
By refusing to purchase the electronic version, customers can send a strong message to the publisher that they will not accept an inferior product in order to accommodate their desire for digital rights management.
The "Kindle Replica" format is a potential solution to this problem as the latter is nothing more than a DRM-wrapped version of PDF.
Question to the publisher: why are you not offering a Kindle Replica version of this text, because if you did, I would purchase it immediately.
Most Recent Customer Reviews
I am a mathematician who works in Finance, and while I know a number of people who swoon over this book, I find it confusing, disorganized, and simply a poor choice for these... Read morePublished 3 months ago by Patricia Del Gatto
the book is great but the copy I got is not new although the seller claims it to be brand-new. Actually copy I got is not-for-sale test sample. Read morePublished on October 26, 2009 by H. Mo
I am taking a phd level course which uses this book. For math guys, SDE and MG theory covered in this book are fine, but it is still somekind of tricky to fill in some details of... Read morePublished on December 2, 2001
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