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Computational Financial Mathematics using MATHEMATICA (R) - Optimal Trading in Stocks and Options (Paperback, Softcover reprint of the original 1st ed. 2003)
Loot Price: R2,584
Discovery Miles 25 840
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Computational Financial Mathematics using MATHEMATICA (R) - Optimal Trading in Stocks and Options (Paperback, Softcover reprint of the original 1st ed. 2003)
Expected to ship within 10 - 15 working days
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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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