Data Science for Financial Time Series

Lecture, three hours; discussion, one hour. Limited to Master of Quantitative Economics students. Data science provides many useful tools for modeling financial data and testing hypotheses on how markets work, and prices are formed. Study of these important tools. Focus on econometric models and methods to understand financial market dynamics. Topics include returns of financial assets, statistical tests on financial market efficiency, linear time series models, time-varying expected return models, heteroscedastic volatility models, optimal portfolio choice problem, capital asset pricing models, factor models, portfolio allocation, tracking and risk management. Letter grading.

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Course

Instructor
Zhipeng Liao
Previously taught
24W 23W

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