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Fall 2025 Graduate Catalog
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AMS 515 - Case Studies in Machine Learning and Finance
The course will cover applications of Quantitative Finance to risk assessment, portfolio management, cash flow matching, securities pricing and other topics. Particular attention will be paid to machine learning approaches, such as neural networks and support vector machines, data collection and analysis, the design and implementation of software. We will study differences between theory and practice in model application, including in-sample and out-of-sample analysis.
3 credits
Grading Letter graded (A, A-, B+, etc.)
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