ECO 4321.5 credits

ECO 432: Computational Investments 2

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From the catalog: Following the introduction of financial innovations and trading strategies, technical analysis and conservative uses of option trading, as well as data sources and tools, this course will focus on “live” trading with Paper Money on defined portfolios, and modeling, testing, and implementing trading systems with advanced computer techniques (such as data preparation and analysis, simulation, performance monitoring and evaluation). The goal is to empower students to become investors with real confidence in conservative investment decisions. Guest lectures on Machine Learning based techniques will also be offered. This course is dual-listed with ECO 532.
Credits: 1.5
Department: Economics

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