BUS 537 Applied Financial and Economic Forecasting

Covers forecasting methods useful in a range of applications. Introduces basic graphic and statistical tools of data analysis. Applies statistical methods such as regression, moving average, smoothing methods, and autoregressive models to produce forecasts of stationary and non-stationary financial and other time series data. Experiments with these forecasting methods will use actual data from the web.