Given the explosion of interest in mathematical methods for solving problems in finance and trading, a great deal of research and development is taking place in universities, large brokerage firms, and in the supporting trading software industry. Mathematical advances have been made both analytically and numerically in finding practical solutions.
This book provides a comprehensive overview of existing and original material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user-friendly style, and a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte-- Carlo. Nowadays, only good personal computers are required to handle the symbolic and numerical methods that are developed in this book.
Key features: * No previous knowledge of Mathematica programming is required * The symbolic, numeric, data management and graphic capabilities of Mathematica are fully utilized * Monte--Carlo solutions of scalar and multivariable SDEs are developed and utilized heavily in discussing trading issues such as Black--Scholes hedging * Black--Scholes and Dupire PDEs are solved symbolically and numerically * Fast numerical solutions to free boundary problems with details of their Mathematica realizations are provided * Comprehensive study of optimal portfolio diversification, including an original theory of optimal portfolio hedging under non-Log-Normal asset price dynamics is presented
The book is designed for the academic community of instructors and students, and most importantly, will meet the everyday trading needs of quantitatively inclined professional and individual investors.
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"Stojanovic offers an excellent, user-friendly presentation of advanced mathematical techniques and Mathematica programming for solving problems in finance and trading. He demonstrates the value of probability, mathematical statistics, calculus of variations, and optimal control of stochastic, ordinary and partial differential equations to the study of market analysis. Solutions are computed symbolically, numerically, or by means of Monte-Carlo simulations.... A very useful and valuable book for researchers, students, professionals, and individual investors." ―Choice
"It is an innovative approach and is very useful for students and practitioners in finance to learn how to use mathematics for investment analysis." ―Mathematical Reviews
"This book is a state-of-the-art introduction to the mathematics of computational finance. The author reviews and extends several recent breakthroughs and also provides new material, which is highly recommended. The novel use of Mathematica enhances the learning experience by letting the reader focus on the essential ideas. I thoroughly recommend this book to both students and practitioners." ―Peter Carr, Courant Institute, New York University
Given the explosion of interest in mathematical methods for solving problems in finance and trading, a great deal of research and development is taking place in universities, large brokerage firms, and in the supporting trading software industry. Mathematical advances have been made both analytically and numerically in finding practical solutions.
This book provides a comprehensive overview of existing and original material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user-friendly style, and a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte-- Carlo. Nowadays, only good personal computers are required to handle the symbolic and numerical methods that are developed in this book.
Key features: * No previous knowledge of Mathematica programming is required * The symbolic, numeric, data management and graphic capabilities of Mathematica are fully utilized * Monte--Carlo solutions of scalar and multivariable SDEs are developed and utilized heavily in discussing trading issues such as Black--Scholes hedging * Black--Scholes and Dupire PDEs are solved symbolically and numerically * Fast numerical solutions to free boundary problems with details of their Mathematica realizations are provided * Comprehensive study of optimal portfolio diversification, including an original theory of optimal portfolio hedging under non-Log-Normal asset price dynamics is presented
The book is designed for the academic community of instructors and students, and most importantly, will meet the everyday trading needs of quantitatively inclined professional and individual investors.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Hardcover. Zustand: Good. 2003. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Bestandsnummer des Verkäufers 0817641971-11-1
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Dura. Zustand: New. Zustand des Schutzumschlags: Nuevo. No Aplica (illustrator). 0. Given the explosion of interest in mathematical methods for solving problems in finance and trading, a great deal of research and development is taking place in universities, large brokerage firms, and in the supporting trading software industry. Mathematical advances have been made both analytically and numerically in finding practical solutions. This book provides a comprehensive overview of existing and original material, about what mathematics when allied with Mathematica can do for finance. Sophisticated theories are presented systematically in a user-friendly style, and a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte-- Carlo. Nowadays, only good personal computers are required to handle the symbolic and numerical methods that are developed in this book. Key features: - Entire book, writtenin Mathematica, is contained on a cross platform CD-ROM. - No previos knowledge of Mathematica programming is required. - The symbolic, numeric, data management and graphic capabilities of Mathematica are fully utilized. - Monte-Carlo solutions of scalar and multivariable SDEs are developed and utilized heavility in discussing trading issues such as Black-Scholes hedging. - Black-Scholes and Dupire PDEs are solved sumbolically and numerically. - Fast numerical solutions to free boundary problems with details of their Mathematica realizations are provided. - Comprehensive study of optimal portfolio diversification, including Merton?s theory, and including an original theory of optimal portolio hedging undder non-Log Normal asset price dynnamics is presented. The Book is designed for the academic community of intructors and students, and most importantly, will meet the everyday trading needs of quantitatively inclined professional and individual investors who want to solve various problems encountered when investing and trading in stocks and stock options. 880 gr. Libro. Bestandsnummer des Verkäufers 9780817641979LEA45955
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Hardcover. Zustand: new. Hardcover. In the last decade there has been an explosion of interest in mathematical methods for solving problems in finance and trading. This book provides a beautiful overview of what mathematics and Mathematica can do for finance. Sophisticated theories are presented in a rigorous but user-friendly, practical style, which, with the aid of the programming capabilities of Mathematica, help the reader develop good intuition in real trading. In the last decade there has been an explosion of interest in mathematical methods for solving problems in finance and trading. Some widely publicized successes include the discovery of the Black--Scholes formula in the 1970s for evaluating the fair price of stock options. Currently, a great deal of research and development is going on in the large brokerage houses, in the supporting trading software industry, and of course at the universities. Mathematical advances in this area that have practical significance can be classified by the way in which they are implemented and can be divided into two main categories: analytical and numerical solutions.Numerical solutions in the past required very powerful computers, not generally available to the individual investor. Analytical solutions, on the other hand, can be implemented very efficiently even on small computers, with only the power of symbolic calculations, data manipulation, and graphic capabilities. This book provides a beautiful overview of what mathematics and Mathematica can do for finance. Sophisticated theories are presented in a rigorous but user-friendly, practical style, which, with the aid of the programming capabilities of Mathematica, help the reader develop good intuition in real trading. In fact, the symbolic algebra capabilities, fast basic numerics, etc. of Mathematica have extended the notion of what is meant by analytic/explicit solutions to "anything that can be computed in no time." And the beautiful thing is that the numerical methods that are developed in this book require only good personal computers. Provides an overview of existing and original material, about what mathematics when allied with Mathematica can do for finance. This title includes sophisticated theories that are presented systematically in a user-friendly style, and a powerful combination of mathematical rigor and Mathematica programming. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780817641979
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