Reviews for “A Primer for the Mathematics of Financial Engineering”, First Edition: ``One of the hottest degrees on today's campus is a Masters in Financial Engineering. Whether you need to retrieve hallowed memories or just want to familiarize yourself with the mathematics underlying this degree, this unique book offers a terrific return on investment.” --Peter Carr, PhD Global Head of Modeling, Morgan Stanley; Director of the Masters Program in Mathematical Finance, Courant Institute, NYU ``This is the book I always recommend to people who ask about their mathematics before doing an... [Read More]
This access kit will provide you with a code to get into MyMathLab, a personalized interactive learning environment, where you can learn mathematics and statistics at your own pace and measure your progress. In order to use MyMathLab, you will need a CourseID provided by your instructor; MyMathLab is not a self-study product and does require you to be in an instructor-led course. This product is for the national MyMathLab access kit. If your school has a custom MyMathLab course the printed access card will not work. MyMathLab includes: Interactive tutorial exercises: MyMathLab... [Read More]
Quantitative Finance: An Object-Oriented Approach in C++ provides readers with a foundation in the key methods and models of quantitative finance. Keeping the material as self-contained as possible, the author introduces computational finance with a focus on practical implementation in C++. Through an approach based on C++ classes and templates, the text highlights the basic principles common to various methods and models while the algorithmic implementation guides readers to a more thorough, hands-on understanding. By moving beyond a purely theoretical treatment to the actual implementation... [Read More]
If you know a little bit about financial mathematics but don’t yet know a lot about programming, then C++ for Financial Mathematics is for you. C++ is an essential skill for many jobs in quantitative finance, but learning it can be a daunting prospect. This book gathers together everything you need to know to price derivatives in C++ without unnecessary complexities or technicalities. It leads the reader step-by-step from programming novice to writing a sophisticated and flexible financial mathematics library. At every step, each new idea is motivated and illustrated with concrete financial ... [Read More]
"Explores how industry has manipulated our most deep-seated survival instincts."—David Perlmutter, MD, Author, #1 New York Times bestseller, Grain Brain and Brain MakerThe New York Times–bestselling author of Fat Chance reveals the corporate scheme to sell pleasure, driving the international epidemic of addiction, depression, and chronic disease. While researching the toxic and addictive properties of sugar for his New York Times bestseller Fat Chance, Robert Lustig made an alarming discovery—our pursuit of happiness is being subverted by a culture of addiction and depression from ... [Read More]
You don’t have to buy this book. Just read this till the end You don’t have to buy this book. Just read this till end & you will learn something that will change the way you do math forever. Warning: I am revealing this secret only to the first set of readers who will buy this book & plan to put this secret back inside the book once I have enough sales. So read this until the very end while you still can.School taught you the wrong way to do mathThe way you were taught to do math, uses a lot of working memory. Working memory is the short term memory used to complete a mental task. You stru... [Read More]
Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Principal componen... [Read More]
Illustrates how R may be used successfully to solve problems in quantitative finance Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and multivariate data analysis... [Read More]
This graphing calculator with an onscreen icon-driven menu provides easy access to advanced functions and is allowed during AP, SAT, PSAT/NMSQT, and ACT college exams. Slide cover included.
This rapidly developing field encompasses many disciplines including operations research, mathematics, and probability. Conversely, it is being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors present a broad overview of the main themes and methods of the subject, thus helping students develop an intuition for how to model unc... [Read More]
Book objective: to prepare a program through which we can access solution for the financial problems, where this book discussions experiments of persons in the field of economic solidarity program in order to find solutions
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