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University at Buffalo 3 credits Management Finance
In this course, students will use financial econometric models to analyze problems of model specification, estimation, analysis and forecasting commonly faced by analysts in financial markets. The course materials cover the measurement and estimation of asset returns, earnings, macroeconomic data, risk and related applications in financial data analysis and visualization. Topics include regression analysis of time series/ARIMA models, multiple regression specifications and models of asset volatility including ARCH and GARCH. Throughout the course, students will use the statistical functions of the R programming language to analyze, model and forecast a variety of financial data.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
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