Data-driven Investments Lab

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1500

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MGMT 638 or MGMT 639 (may be taken concurrently) Description: This course is part of the data-driven investments curriculum designed to equip students with an analytical quantitative investment toolkit. Students work in groups to develop, test, and implement investment strategies using Python. The investment strategies are driven using a range of datasets provided by the instructors. Students first explore the data and develop trading ideas and then simulate implementation of their chosen strategy. The course emphasizes understanding the sources of investment performance through analyses of factor and sector exposures, attribution analysis, and performance evaluation. Graduate/Undergraduate Equivalency: BUSI 449 . Mutually Exclusive: Cannot register for MGMT 767 if student has credit for BUSI 449→MGMT 767→unlocks 1 courses

1 mapped course lists MGMT 767 as a prerequisite. See on the map →

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