Statistical and Quantitative Methods for Finance. 3 credits

Catalog description

The purpose of this course is to acquaint students with basic econometric techniques which are applicable to financial data analysis. The following topics will be covered; (1) some basic probability concepts and return distributions;(2) A review of elementary statistical inference (3) Simple and multiple regression models: specification and estimations; (4) Inferences in regression models (5) Diagnostic checking on the regression residuals; (6) Regression models with time series data; (7) Estimation of index models and capital asset pricing model and (8) Measuring and modeling volatility, correlations and liquidity. Throughout the course, emphasis will be placed on the understanding the fundamental concepts of financial econometric techniques. R computer language will be used to analyze real world problems. Offered by Costello College of Business . May not be repeated for credit.