# Multivariate Time Series Analysis

### Lecture (Mittnik)

Thursday, 13.06.2013, 16:00 - 20:00 c.t., Theresienstraße 39 (B) - Room B039

Tuesday, 18.06.2013 - 16.07.2013, 14:00 - 18:00 c.t., Amalienstr. 73A - Room 218

### Tutorial (Spanhel)

Thursday, 06.06. 2013, 16:00 - 20:00 c.t., Theresienstraße 39 (B) - Room B039

Tuesday, 11.06.2013, 14:00 - 18:00 c.t., Amalienstr. 73A - Room 218

Thursday, 20.06.2013, 16:00 - 20:00 c.t., Theresienstraße 39 (B) - Room B039

Friday, 28.06.2013 - 19.07.2013, 16:00 - 20:00 c.t., Theresienstraße 39 (B) - Room B 046

Lecture and tutorial in English.

## News:

- On October 25 you may attempt to pass another exam for the first part if you did not pass the official exam. Please register by no later than october 20 by sending this excel-file to Mrs. Brunner: martina.brunner@stat.uni-muenchen.de.
- 22.07 The results for the exams are available - have a look at the seminar's notice-boards in front of the secretary's office.
- 06.06 The dates of the lecture/tutorial have been changed. Material for the tutorial can now be downloaded.

## Topics:

- Overview
- ARMA processes
- Estimation
- Prediction
- Structural analysis
- Modeling nonstationary time series
- Modeling time-varying parameters
- GARCH

**Target audience:** Advanced students and PhD students in econometrics, statistics, VWL, BWL, mathematics or computer science.

**Prerequisites:** Profound knowledge in matrix-algebra and econometrics (econometrics I) or statistics (linear models). Basic knowledge in univariate time series analysis is not demanded but of advantage.

**Record of achievement:** This course consists of two parts. The first part of „Multivariate Time Series Analysis“ is equivalent to the lecture „Multivariate Zeitreihen/Multivariate Time Series“ (3 ECTS-Credits) for statisticians; the second part can be recognised as „Ausgewählte Gebiete der theoretischen Statistik B/Selected Topics in theoretic Statistics B“ (3 ECTS-Credits). For each part there will be a separate exam that takes one hour. That is, you only have to attend the first part (see below) of the course if you want to obtain credit points for the course “Multivariate Zeitreihen”. Apart from that, the whole course is equivalent to "Time-Series Econometrics" and counts as a class for Ph.D. candidates in economics. You have to attend the whole course and pass both exams in order to obtain the "Schein".

Altogether, there are 5 problem sets in the tutorial. Problem sheets 1, 2 (theoretical properties of VAR(p) processes), and 4 (estimation of VAR(p) processes) belong to the first part „Multivariate Zeitreihen“. Problem sheets 3 (granger-causality, impulse-response-analysis, innovations accounting) and 5 (integrated and cointegrated processes) are relevant for the second part.

## Exam:

Date: 25.10.2013

Time: 12:15 - 13:15

Place: Geschw.-Scholl-Pl. 1 (M) - M 105

Duration: 60 minutes, respectively

Auxiliary material: Calculator, handwritten formulary on 1 sheets (2 pages) of DIN A4 paper. Note that a formulary consists of formulas and is not supposed to be a transcription of the tutorial/lecture. Titles are allowed to a minor degree but text or some kind of shorthand is not permitted. The formulary must be handed in.

Registration: Please register for the examination and fill out the registration form (name, "MatrikelNo", major, semester of study, and examination regulations). Please send the registration form to martina.brunner@stat.uni-muenchen.de.

For identification issues, please bring along your student ID as well as your personal ID.

**Literature:**

- Mostly recommended: Lütkepohl, H., New Introduction to Multiple Time Series Analysis, New York: Springer-Verlag, 2005
- For the mathematically-inclined: Brockwell, P. J. and Davis, R. A. (1987), Time Series: Theory and Methods (2nd edition)
- Hamilton, J. D. (1994), Time Series Analysis, Princeton University Press
- Lütkepohl, H., Krätzig, M. (2004), Applied Time Series Econometrics, Cambridge University Press
- Rinne, H. and Specht, K. (2002), Statistische Modellierung, Schätzung und Prognose, Vahlen
- Tsay, R. S. (2005), Analysis of Financial Time Series (2nd edition), Wiley-Interscience
- Wei, W. W. S.(2005), Time Series Analysis: Univariate and Multivariate Methods (2nd edition), Addison-Wesley

## Problem Statements:

- To download the problem statements and additional sheets click here.