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Nov 24, 2024
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FIN 279 - Introduction to Computational Finance
Semester Hours: 3
Once a Year
An introduction to computational finance, with emphasis on the fundamental building blocks and toolboxes of MATLAB as they are used in quantitative finance and risk management. Students utilize and modify the computational tools built into MATLAB to analyze data from various financial markets and instruments. The course covers fundamental computational finance techniques that are applied in quantitative finance topics, such as financial engineering, financial modeling, pricing derivatives, risk management, and handling large-scale and complex data from financial markets.
Prerequisite(s)/Course Notes:
MATH 040 or approved equivalent; MATH 061 or approved equivalent. Corequisite: MATH 205 . Open only to matriculated graduate students in the Frank G. Zarb School of Business and other schools of Hofstra where appropriate.
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