computational financial mathematics using (9 Ergebnisse)

Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Softcover reprint of the original 1st ed. 2003.

25 cm 1 CD-ROM. XI, 481 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

ill. OPappband. 24 x 16 cm. Zustand: Sehr gut. XI, 481 Seiten. Leichte äußere Gebrauchsspuren, sonst einwandfrei Sprache: Englisch Gewicht in Gramm: 1950.

Taschenbuch. Zustand: Neu. Neuware -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 presentedThe 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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 496 pp. Englisch.

Paperback. Zustand: Brand New. reprint edition. 481 pages. 9.00x6.00x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Computational Financial Mathematics using MATHEMATICA® | Optimal Trading in Stocks and Options | Srdjan Stojanovic | Taschenbuch | xi | Englisch | 2013 | Birkhäuser Boston | EAN 9781461265863 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. 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. Num Pages: 481 pages, biography. BIC Classification: KFFM2; UFM. Category: (UU) Undergraduate. Dimension: 243 x 171 x 33. Weight in Grams: 860. . 2002. Hardback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Zustand: Neu. Neuware - 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.