Pricing derivatives theory comes alive in this self-contained interactive experience in financial pricing. The no-arbitrage perspective in a one-period state-preference model drives the book, and the Maple[registered] and Matlab[registered] programs help readers visualize payoffs and respond to various constraints and conditions. With clear explanations and lavish illustrations, "Pricing Derivative Securities: An Interactive, Dynamic Environment with Maple V and Matlab" teaches the core theoretical concepts so often disguised behind difficult terms and institutional details. Readers can experiment with the electronic packages forever, using the book and its solutions manual as a tutorial that can help solve problems of increasing complexity.This title features an enclosed CD-ROM includes the student version of Maple V; it provides an interactive, dynamic and friendly environment allowing students to learn through hands on experience. It enhances learning by altering the commands in the on-line files, varying them at will, in order to experiment with applications of the concepts and different (reader-generated) examples, in addition to the ones already in the prepared file. It provides both the framework and the tools, based on the no free lunch concept, by which readers can analyze and appreciate different scenarios, including those that are not covered in the book, related to derivative securities. The basic concepts of stochastic calculus are enriched with demonstrations using animation, simulation and three-dimensional graphs thereby overcoming mathematical complexity. The MATLAB[registered] Graphic User Interface provides the ability to bring to life on the screen the theoretical material of the chapters.
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Prepublication Praise "This treatment of derivative pricing will make a fine textbook for a masters-level finance course, or a reference work for practitioners. Prisman's novel presentation combines software, algorithms, and analytical modeling, emphasizing visualization of the pricing. This book makes it possible to develop both a solid conceptual foundation for derivatives modeling as well as a working knowledge suitable for numerical implementation." --DARRELL DUFFIE, Stanford University, California "By using two of the software packages most widely used in industry, Professor Prisman's book should prove to be of great value to both students and practitioners." --PETER CARR, Principal, Banc of America Securities, New YorkAbout the Author:
Eliezer Z. Prisman holds the Nigel Martin Chair in Finance and is the Director of the Financial Engineering collaborative diploma at the Schulich School of Business, York University, Toronto. He received a BA in Economics and Statistics from the Hebrew University of Jerusalem, and an M.Sc. and D.Sc. in Operations Research from the Technion Institute of Technology, Israel. Professor Prisman has held positions as Assistant Professor of Management Science at Georgia Institute of Technology, Assistant Professor of Finance at Arizona State University and Senior Lecturer in Economics at Bar Ilan University. His research area includes optimization and its use in Finance and Financial Engineering, arbitrage pricing in markets with taxes and transaction costs, financial innovation and the use of symbolic computation in financial engineering for commercial, mathematical and academic purposes. Professor Prisman has published numerous papers in journals such as The Journal of Economic Theory, Mathematical Programming, Journal of Financial and Quantitative Analysis, The Journal of Finance, Journal of Banking and Finance and Management Science.
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Book Description Academic Press. Hardcover. Book Condition: New. 0125649150 New Condition. Slight shelf wear on cover. Bookseller Inventory # CSQ-SHEL-9503
Book Description Academic Press, 2000. Hardcover. Book Condition: New. book. Bookseller Inventory # 0125649150
Book Description Book Condition: Brand New. Book Condition: Brand New. Bookseller Inventory # 97801256491551.0
Book Description Academic Press, 2000. Hardcover. Book Condition: New. New item. Bookseller Inventory # QX-005-05-9112109