Interdisciplinary Methods for Quantitative Finance

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(CASPY355 OR METAD685) or equivalent; or consent of instructor. - Expands upon the foundations of finance theory with interdisciplinary approaches from statistical physics and machine learning. Equips the students with the Python tools to tackle a broad range of problems in quantitative financial analysis and combines the study of relevant financial concepts with computational implementations. Students learn to use packages like Numpy, Pandas, Statsmodels and Scikit, which are commonly used in research and in the industry→CAS PY 538→unlocks 0 courses

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