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Rating: Summary: Unclear, and full of errors. Review: 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.]
Rating: Summary: Unclear, and full of errors. Review: 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.]
Rating: Summary: Very Comprehensive, But too few examples Review: 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.
Rating: Summary: A Good Read! Review: This book is a detailed and meticulous presentation of the calculations involved in Value at Risk (VaR) measurement. According to authors Pietro Penza and Vipul K. Bansal, Value at Risk is one of the most popular approaches to measuring the risk of harm to financial portfolios. It is a valuable institutional tool. Be aware, though, the book's message and how-to assistance will seem generally irrelevant to individual investors, except for a handful of extremely high net worth individuals at the top of the Forbes 400. Its calculations are beyond the ken of most non-mathematicians, but they will intrigue the right audience. We find this book to be a useful addition to the libraries of professional investors, bankers or risk managers, particularly those with highly developed analytical skills and a certain degree of comfort with financial engineering. Some other financial managers and lay readers will find useful information here, though they may need to walk on tiptoes through those sections of the content that are over their heads.
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