Time Series Econometrics

Teaches estimation, testing and forecasting time series models; covers univariate and multivariate time series with topics including ARIMA models, volatility models, unit roots, spurious regression, cointegration, VAR models and Granger Causality; emphasis on practical financial and economic applications. These tools are used in finance to measure risk, dynamic portfolio selection, and risk control.