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A Fresh & Imaginative Approach to Risk Management
Finding the Hidden RisksIf we use the model for a normal distribution, a five-standard deviation credit loss event should only happen once in every 7,000 years, but in the market place, we see this happen once or twice in a decade. A book that talks about hidden risk and the deficienies of VAR in capturing credit risk is another very entertaining read by Tavakoli called "Credit Derivatives" (Second Edition).
Original & Entertaining: Risk in the post-'Normal' age!novel format does a great job of conveying intuition & bridging chasm b/n ivory tower musings & the industry politics of accepting good ideas. There are key practical insights on many aspects of risk & portfolio mgt. Treatment of ExpUtility framework & Cond normality is good.


Just only JohnGood for children of all ages.
Fantastic!
Just Only John

Adorable Little Book!
Read this book outloud to my college literature class
A Wonderful Reader

great
reads like a song
Possibly my all-time favorite book!

A well written and authorative guide in setting standards
This books helps you hit the ground running.
The new standard for Designer StandardsI actually read the book (as in sit down and read, not just browse), and found the style very readable and the content consistently on target. If you need to write an Oracle Designer Standard, it would be most inefficient and foolish not to start with this book.


Best Intentions turn out even better
Wonderful!
Salt and Light

Great coverage of tricks and treatsI think that pretty much covers what this book is about. For someone like me that started programming Windows with Windows 2.0 and am an old hand at the actual C level API this book brings some of the tricks of the trade to the Visual Basic programmer. Between this book and "Advanced Visual Basic 6" by Matthew Curland a programmer of VB will find plenty of ammunition to shut down those "VB is a whimpy language" attack chihuahuas.
If you are a better than average VB programmer and need some new tricks to keep interest up or if you are any level programmer that needs a little spice to go with your code get this book and play with the code inside.
This book also does something else all books should do. The authors included the source code for ALL the examples and annotated the code to the max. Thus the "Annotated Archives" title, eh. Other peoples' code is a valuable tool for programmers and there is plenty of it in this book.
An excellent vb-book!
At last! A reference that is worth reading (cover to cover)!

The Best Yet !!!
awesome, read all 8, the story gets better and better....
Great As Usual

An Excellent Historical Portrait
very good book......i recommend it for all to read!
Five stars for her

IT'S A WISE CHILD...This is not to suggest that there is any lack of violence or derring-do in Kent's book. Much of the latter is supplied by Benny's daughter, Andy, a fresh-minted Penn graduate who is determined to find out why her father died. Her mentor is an agoraphobic obituary writer name Shep Ladderback at the tabloid Philadelphia Press where Andy has just been hired. He helps her explore the web of Cosicki's relationships which began in an orphanage and stretch from the blue collar neighborhood of Redmonton where Benny tended bar and met Andy's mother to Philadelphia's Main Line.
I hope Kent gives us more Ladderback and Cosiski collaborations.
A Kick-{IT} Top-Notch Read
A must for serious mystery fans.
But Iceberg Risk is more than a novel; indeed, it is really two books in one: each chapter covers the intuition of its subtopic first, through the clever device of Devlin and Conway's saga within Megabucks Investment Bank; and then delves more directly into the mathematics. Of the math, the reader is encouraged to explore "about as much or as little as you want", a feature I especially appreciated given my low-calorie mathematical diet. And, just as the novel part is an entertaining read, the quantitative part is a useful summary of the mechanics of portfolio management theory.
Part I of Iceberg Risk covers the statistics of probability, covariance and correlation, Pascal's triangles and Bernoulli variables, IID versus non-IID estimates of tail risk, Tchebyshev's inequality, the Kuhn-Tucker conditions for the solution to a Lagrangean optimization, mixtures of discrete and continuous probability measures, De Finetti's theorem, the problems with VaR and the ubiquitous (in finance) normality assumption, and even computer sex (read the book!). Osband gives us a quick introduction to matrix math (though it is even more sparse than the helpful section in Markowitz' 1959 book) before concluding the first half of the book with conditional multivariate normality.
Part II of Iceberg Risk offers a unique and thoughtful approach to overcoming the deficiencies of standard risk assumptions for portfolio management. In this part of the book Osband covers convex and nonconvex utility, regret aversion, choice theory, the appraisal ratio of Treynor-Black and even delves into the Bayesian approach to statistics. Partition functions are introduced as a method of combining conditional return distributions with multi-regime risk aversion. Without resorting to Monte Carlo simulation techniques, Osband proposes a numerical approach to generating risk estimates, since there is no closed-form equation available to solve the issue. He even shows how to account for options and other nonlinear payoff assets.
Osband's approach to risk management is fresh and appealing. It would be worthwhile reading for risk managers and portfolio managers. One aspect I liked very much about his writing style is that the characters represent very distinct human traits, much like those of another of my favorite authors, Ayn Rand. For example, we are introduced to the concept of regret aversion when Conway meets Regretta:
"He spun around to see a raven-haired woman dressed in black. She was beautiful, but with the saddest eyes Conway had ever seen. 'Pardon me for eavesdropping,' she said, 'But if Dr. Know-nothing can't help you, maybe I can.' 'Go away, Misery Girl,' snapped Devlin. 'We don't need you.' 'Oh, I think you do,' she said... 'Now here's what I think you need to do. First measure every outcome in terms of its gross percentage return... Second, square that return and take the negative inverse. Third, form the probability-weighted average of the various negative inverses. Fourth, pick the portfolio that generates the highest probability-weighted average. Am I being clear?' Devlin and Conway were blown away. 'She does math,' mumbled Devlin to himself."
Osband makes the observation that "The mainstream seems less interested in managing risk than the appearance of risk." Readers of Osband's Iceberg Risk might just become a bit less mainstream for the reading.