Mathematical Techniques in Finance: Tools for Incomplete Markets - Second Edition Contributor(s): Cernư, Ales (Author) |
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ISBN: 0691141215 ISBN-13: 9780691141213 Publisher: Princeton University Press
Binding Type: Paperback - See All Available Formats & Editions Published: July 2009 Annotation: "Ales Cerny's new edition of "Mathematical Techniques in Finance" is an excellent master's-level treatment of mathematical methods used in financial asset pricing. By updating the original edition with methods used in recent research, Cerny has once again given us an up-to-date first-class textbook treatment of the subject."--Darrell Duffie, Stanford University |
Additional Information |
BISAC Categories: - Business & Economics | Finance - General - Business & Economics | Economics - General - Mathematics | Applied |
Dewey: 332.015 |
LCCN: 2009923897 |
Physical Information: 1.1" H x 6" W x 9.1" L (1.25 lbs) 412 pages |
Features: Bibliography, Index |
Descriptions, Reviews, Etc. |
Publisher Description: Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cern mixes tools from calculus, linear algebra, probability theory, numerical mathematics, and programming to analyze in an accessible way some of the most intriguing problems in financial economics. The textbook is the perfect hands-on introduction to asset pricing, optimal portfolio selection, risk measurement, and investment evaluation. The new edition includes the most recent research in the area of incomplete markets and unhedgeable risks, adds a chapter on finite difference methods, and thoroughly updates all bibliographic references. Eighty figures, over seventy examples, twenty-five simple ready-to-run computer programs, and several spreadsheets enhance the learning experience. All computer codes have been rewritten using MATLAB and online supplementary materials have been completely updated.
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