This is a good big picture book. Additional reference books will be required to fully appreciate theory.

Book integrates various segments of investment banking to give the reader a overall perspective. Simple to read with a practical outlook. First few chapters appx 100 pgs too much of elementary reading...overall good big picture book

Like to know this books's new idea and further going

I stopped reading this book after the first 7 chapters. It's easy going conceptually, but manages to be very irritating for the following reasons: The "definitions" are often confusing and unilluminating, although the examples that follow generally manage to get the idea across. There are also a large number of mathematical errors, which I was able to clear up only because I'm already familiar with the essentials of VaR. As a first introduction, the book is therefore useless. Perhaps the remaining 10 chapters of the book are of sterling quality -- to hedge against this eventuality I award two stars, rather than just one -- but I will be seeking another source.

[And shame, shame, shame on Wiley Finance's editors. Apart from the above errors, here are just two howlers that prove that the book was published before anybody read it: "Neper's number" for e (Napier?), "phenomene" as plural of phenomena (which would have made a kind of grammatical sense weren't it for the fact that phenomena is alread the plural of phenomenon.) No doubt Wiley Finance believes that sales are unaffected by reputation.]

Penza and Bansal has done a good work on making a whole picture of Market Risk Measurement. With the clear explanation, it helps the beginners to quickly grasp the concept on Market Risk Measurement. It is well organized in 16 chapters, beginning with a few chapters on financial risk management in banking, including a review on the traditional Asset/ Liability Management. The review on Mathematical and statistical techniques is very well described. The authors also explained the analysis of pricing financial assets, including Fixed-income, equity, and derivative. Finally, they show the common methodologies to calculate VaR-Parametric, Historical Simulation and Monte Carlo Simulation.

I considered this book as a good literature review on Value at Risk, but not the step-by-step one. It provides complete set of formulas but too few examples. I recommend for beginning- and intermediate-level readers who want to know the overall concept of Value at Risk.