--- product_id: 27848423 title: "Market Risk Analysis, Quantitative Methods in Finance (The Wiley Finance Series)" price: "€ 132.15" currency: EUR in_stock: true reviews_count: 8 url: https://www.desertcart.hr/products/27848423-market-risk-analysis-quantitative-methods-in-finance-the-wiley-finance store_origin: HR region: Croatia --- # Market Risk Analysis, Quantitative Methods in Finance (The Wiley Finance Series) **Price:** € 132.15 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Market Risk Analysis, Quantitative Methods in Finance (The Wiley Finance Series) - **How much does it cost?** € 132.15 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.hr](https://www.desertcart.hr/products/27848423-market-risk-analysis-quantitative-methods-in-finance-the-wiley-finance) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Market Risk Analysis, Quantitative Methods in Finance (The Wiley Finance Series): 9780470998007: Economics Books @ desertcart.com Review: A Godsend - I have studied this book cover-to-cover, and I dare to say it is the best book from which to learn or review the math foundations used in quantitative finance (financial econometrics and derivatives pricing). I only have a degree of bachelor of science in computer science, with two years of analysis-lite calculus courses plus a one-semester calculus-based probability class, from the University of Toronto back in 1999, and I was able to understand most of this book. I also have very limited amount of time to study (basically just one half hour each week day on BART ride). For someone with a similar background and time constraint as mine, Professor Alexander succinctly presents the foundational concepts of differentiation, integration, matrix algebra, multivariate probability, statistical inference, numerical methods, and portfolio theory. I had been searching for and could not find another book that covers so much ground in a single volume. Books like Mathematics for Economists (which I also highly recommend) do cover some of the maths, but do so from the perspectives of economics, not finance. Furthermore, they do not cover probability and statistics. Contrary to what some other reviewers say, I think the use of Excel in the book is one of its best features. The company where I work uses SAS, S-PLUS, R, Matlab and Gauss, so I do have access to these tools. However, not everyone, especially those who are not working at a financial company, is so fortunate. Even though R is open source, it would add another learning curve on top of what is already a formidable challenge. Excel can be considered as the lowest common denominator, and if an algorithm can be implemented in it, you can bet that it can be ported to any other tool. Professor Alexander's avoidance of VBA is also greatly appreciated, as it would just add another layer of unnecessary complexity. The only thing I miss from this book is more proofs or pointers to where we can find them. Don't get me wrong, this book is both practical and mathematically rigorous, and contains proofs or derivations for many theorems. However, probably due to the lack of space, a number of theorems are stated but not proved. For example, I would love to see more substantiation on why the t distributions are used for inferences on means and why the F distributions are for variance (section I.3.3.8). The standard I use to measure the clarity and completeness (in terms of proving from first principles) of other math books is Calculus by Professor Michael Spivak and Mathematical Statistics for Economics and Business by Professor Ron Mittelhammer (both of which I highly recommend; I am only half-way through the latter though). Having said that, Professor Alexander's book is probably as complete as anyone can make it with so few pages. There are a number of gems of distilled insight throughout the book that I have not found elsewhere, such as the difference in notations of price between discrete and continuous times (section I.1.4.1) and the difference between "estimation" and "calibration" of models (p. 201). Professor Alexander's quality of being a great teacher and mentor shines through these examples. I wish I could be her student at the ICMA. In a way, I already am. In summary, I cannot recommend this book highly enough for anyone who is starting to venture into the world of quantitative finance. I have already bought the rest of the volumes (save for volume IV, which is still unpublished) in the series, and I truly look forward to learning from them. Congratulations, Professor Alexander, for writing this outstanding text. Review: Applied math for market risk - I have read a great deal of the books on credit and market risk. In Market Risk Analysis I, Prof. Alexander begins explaining concisely and accurately the core of the essential topics in the subject, in down-to-earth terms, and at all times with the reader in mind. Having said that, I would also like to point out that the author takes the reader through the chapters (always with a lot of examples) building knowledge as the text goes from a theoretical to a practical point of view, covering all you need to learn about the subject in an introductory work. This is an excellent book for practitioners and great mathematical education for finance students. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,880,490 in Books ( See Top 100 in Books ) #849 in Business Finance #3,011 in Economics (Books) #6,886 in Finance (Books) | | Customer Reviews | 4.5 out of 5 stars 24 Reviews | ## Images ![Market Risk Analysis, Quantitative Methods in Finance (The Wiley Finance Series) - Image 1](https://m.media-amazon.com/images/I/61CaNiDaR0L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ A Godsend *by H***G on October 25, 2008* I have studied this book cover-to-cover, and I dare to say it is the best book from which to learn or review the math foundations used in quantitative finance (financial econometrics and derivatives pricing). I only have a degree of bachelor of science in computer science, with two years of analysis-lite calculus courses plus a one-semester calculus-based probability class, from the University of Toronto back in 1999, and I was able to understand most of this book. I also have very limited amount of time to study (basically just one half hour each week day on BART ride). For someone with a similar background and time constraint as mine, Professor Alexander succinctly presents the foundational concepts of differentiation, integration, matrix algebra, multivariate probability, statistical inference, numerical methods, and portfolio theory. I had been searching for and could not find another book that covers so much ground in a single volume. Books like Mathematics for Economists (which I also highly recommend) do cover some of the maths, but do so from the perspectives of economics, not finance. Furthermore, they do not cover probability and statistics. Contrary to what some other reviewers say, I think the use of Excel in the book is one of its best features. The company where I work uses SAS, S-PLUS, R, Matlab and Gauss, so I do have access to these tools. However, not everyone, especially those who are not working at a financial company, is so fortunate. Even though R is open source, it would add another learning curve on top of what is already a formidable challenge. Excel can be considered as the lowest common denominator, and if an algorithm can be implemented in it, you can bet that it can be ported to any other tool. Professor Alexander's avoidance of VBA is also greatly appreciated, as it would just add another layer of unnecessary complexity. The only thing I miss from this book is more proofs or pointers to where we can find them. Don't get me wrong, this book is both practical and mathematically rigorous, and contains proofs or derivations for many theorems. However, probably due to the lack of space, a number of theorems are stated but not proved. For example, I would love to see more substantiation on why the t distributions are used for inferences on means and why the F distributions are for variance (section I.3.3.8). The standard I use to measure the clarity and completeness (in terms of proving from first principles) of other math books is Calculus by Professor Michael Spivak and Mathematical Statistics for Economics and Business by Professor Ron Mittelhammer (both of which I highly recommend; I am only half-way through the latter though). Having said that, Professor Alexander's book is probably as complete as anyone can make it with so few pages. There are a number of gems of distilled insight throughout the book that I have not found elsewhere, such as the difference in notations of price between discrete and continuous times (section I.1.4.1) and the difference between "estimation" and "calibration" of models (p. 201). Professor Alexander's quality of being a great teacher and mentor shines through these examples. I wish I could be her student at the ICMA. In a way, I already am. In summary, I cannot recommend this book highly enough for anyone who is starting to venture into the world of quantitative finance. I have already bought the rest of the volumes (save for volume IV, which is still unpublished) in the series, and I truly look forward to learning from them. Congratulations, Professor Alexander, for writing this outstanding text. ### ⭐⭐⭐⭐⭐ Applied math for market risk *by A***I on October 6, 2009* I have read a great deal of the books on credit and market risk. In Market Risk Analysis I, Prof. Alexander begins explaining concisely and accurately the core of the essential topics in the subject, in down-to-earth terms, and at all times with the reader in mind. Having said that, I would also like to point out that the author takes the reader through the chapters (always with a lot of examples) building knowledge as the text goes from a theoretical to a practical point of view, covering all you need to learn about the subject in an introductory work. This is an excellent book for practitioners and great mathematical education for finance students. ### ⭐⭐⭐⭐⭐ Carol did a great favor to us for writing this book *by N***S on September 5, 2013* Guys, the book is just great. In fact all the series is great. For people like me who are into Risk the series is a must. Clear, concise and straightforward but well rounded approach to market risk. Highly recommended. --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.hr/products/27848423-market-risk-analysis-quantitative-methods-in-finance-the-wiley-finance](https://www.desertcart.hr/products/27848423-market-risk-analysis-quantitative-methods-in-finance-the-wiley-finance) --- *Product available on Desertcart Croatia* *Store origin: HR* *Last updated: 2026-05-24*