1. Introduction 2. Modelling Stationary Time Series: the ARMA Approach 3. Non-stationary Time Series: Differencing and ARIMA Modelling 4. Unit Roots and Related Topics 5. Modelling Volatility using GARCH Processes 6. Forecasting with Univariate Models 7. Modelling Multivariate Time Series: Vector Autoregressions and Granger Causality 8. Cointegration in Single Equations 9. Cointegration in Systems of Equations 10. Extensions and Developments Index
SUMMARY OR ABSTRACT
Text of Note
This book provides an introductory treatment of time series econometrics, a subject that is of key importance to both students and practitioners of economics. It contains material that any serious student of economics and finance should be acquainted with if they are seeking to gain an understanding of a real functioning economy.