| Simple and Multiple Regression Models: Assumptions, Estimation and Inference; Alternative
Functional Forms; Breakdown of Classical Assumptions: Multi-co-linearity, Autocorrelation,
Heteroscedasticity; Dummy Variables; Introduction to forecasting using Time Series Models, crosssectional
and panel data model ; Applications include: Business Projections, Seasonality in Business,
CAPM, volatility of share returns, quality of earnings, capital structure and dividend policy and EMH
testing. |
Administrative assistant: TASLIMA BOODHUN-JHUMKA
Telephone: 4037400
Email: t.boodhun@uom.ac.mu |
