IKT6121 / Time Series Analysis

Contents Of The Courses in a weekly Period

Hafta 
Subjects 
Sources 
1Basic Concepts and IntroductionEnders, W., Applied Econometric Time Series, John Wiley, 2004.
2OLS, GLS, MLE, GMM Estimation MethodsEnders, W., Applied Econometric Time Series, John Wiley, 2004.
3Difference Equations, Lag and Difference OperatorsEnders, W., Applied Econometric Time Series, John Wiley, 2004.
4Stationary Time Series Models with One Variable, Stationarity, AR and MA ModelsEnders, W., Applied Econometric Time Series, John Wiley, 2004.
5ARIMA Models, SeasonalityEnders, W., Applied Econometric Time Series, John Wiley, 2004.
6Box-Jenkins Methods, Corelogram, Autocorrelation and Partial Autocorrelation FonctionsEnders, W., Applied Econometric Time Series, John Wiley, 2004.
7Forecasting MethodsHamilton, J. Time Series Analysis, 1994.
8Non-stationary Time Series Tsay, R. S., Analysis of Financial Time Series, John Wiley, 2010.
9Deterministic and Stochastic Trend ModelsTsay, R. S., Analysis of Financial Time Series, John Wiley, 2010.
10Unit Root Tests with Traditional and Structural BreaksEnders, W., Applied Econometric Time Series, John Wiley, 2004.
11Volatility Models with One Variable, such as ARCH, GARCH, MGARCH ModelsFranses, P. H. and Dick van Dijk, Non-Linear Time Series Models in Empirical Finance, Cambridge Univ. Press, 2000.
12Non-Stationary ModelsFranses, P. H. and Dick van Dijk, Non-Linear Time Series Models in Empirical Finance, Cambridge Univ. Press, 2000.
13Cointegration Tests with Traditional and Structural BreaksEnders, W., Applied Econometric Time Series, John Wiley, 2004.
14Cointegration Tests with Structural BreaksEnders, W., Applied Econometric Time Series, John Wiley, 2004.