Financial Econometrics

Catalog description

Covers a variety of economic, financial and investment models to make inferences and forecasts. Discusses how estimation techniques span from simple linear regression models to panel data estimation. Explores time series modeling techniques, ranging from ARIMA models to volatility and correlation modeling. Covers how to deal with qualitative variables and limited dependent variables, using both parametric and non-parametric techniques. Uses the statistical tools of Excel and R, though other tools may be used depending on the application. Offers practical use for all types of financial research where data must be examined, and relationships must be explained or predicted.