This is an advanced elective course on the economics of active investing in public equity markets. We will cover a set of foundational skills needed to select, and manage, a portfolio of public stocks. nSpecifically, the course material is designed to improve student skills in: (1) assessing the relative attractiveness of individual companies, (2) building stock screens to filter and rank firms based on user-specified parameters, (3) buying and shorting individual equity positions, and (4) monitoring and managing portfolio risk. nThis is a hands-on course with an emphasis on experiential learning. Students will make extensive use of the analytical tools. Some of the classes will be held in the "Real-time Analytics and Investment Lab" (R.A.I.L.) facility in the Bass Center. There is no final exam. However, there will be a number of individual cases and a final group project. 25% of the grade will be based on class participation, and 75% will be based on cases and projects. nBecause it is an advanced elective, students taking this class are expected to be well versed in core economic, accounting, and finance skills. Material covered in a second Financial Modeling course, as well as in Accounting 312 (Evaluating Financial Statement Information) and Accounting 313 (Accounting-based Valuation) will come in handy. However, none of these courses are required.
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This course is the Advanced Applications option in the menu of courses that satisfy the Management Perspectives requirement in Optimization and Simulation Modeling (OSM). The course will focus on using optimization techniques in practice, with the following objectives: (1) Students should leave with a good understanding of different types of optimization models and when they are useful; (2) Students should be able to solve real-world optimization models, and use tips and tricks for solving these models efficiently; (3) When faced with a business problem, students should be able to identify whether or not optimization is appropriate, and how to set up the correct model to solve the problem. The class is taught in an interactive style, focusing on a variety of applications drawn from advertising, healthcare, finance, supply chain management, and scheduling. We will be using the software Gurobi through Python. Students should be comfortable using these software packages by the end of the class, but no prior experience specifically with these software packages is necessary. Some prior coding experience is helpful, but the first week of the course is designed to bring all students up to speed with Python.
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