|Lecturer||Prof. Dr. Joachim Grammig|
|Profiles||First year Master|
|Prerequisites||Bachelor level exposure to Econometrics/Time Series Analysis|
|Time and Place|| |
Online; Live-streaming via timms, Hörsaal Unikasse HS11, moodle link
Monday 12:00 - 14:00 c.t.
|Exam||oral exam and assignments|
|Credit Points||9 ECTS|
|Start of the lecture||02-11-2020|
Hamilton J.: Time Series Analysis, Princeton University Press, 1994
Rigorous treatment of state-of-the art univariate and multivariate time series methods used in economics and finance. Thorough treatment of autoregressive moving average (ARMA) models. Forecasting. Regression analysis with stationary
time series. Non-stationary processes. Structural Vector-Autoregressive Models and Cointegration. Equilibrium Correction models. Johansen methodology. Applications of time series methods in macroeconomics and finance. Modeling conditional heteroskedasticity in financial time series. Newer developments. Applications use Matlab in practical class in PC lab.
Detailed information on the practical class will be give in the first lecture. There will be no practical class in the first week of the winter term.