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 Cerny
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. A standard textbook for graduate finance
courses Introduction to asset pricing, portfolio selection, risk
measurement, and investment evaluation Detailed examples and MATLAB
codes integrated throughout the text Exercises and summaries of
main points conclude each chapter"
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