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Econometrics of Financial Markets (R-Module)

Exam number: 6772

Semester: from 1st semester

Duration of the module: One semester

Form of the module (i.e. obligatory, elective etc.): Elective

Frequency of module offer: Each winter semester

Prerequisites: Knowledge in mathematics and statistics. Participation in the track module "Econometrics of Financial Markets" is necessary.

Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.

Person responsible for module: Prof. Dr. Wolfgang Schmid

Name of the professor: Prof. Dr. Wolfgang Schmid

Language of teaching: English

ECTS-Credits (based on the workload): 6

Workload and its composition (self-study, contact time):
Contact time (Lecture, tutorial etc.): 15 h; self-study: 165 h

Contact hours (per week in semester): 2

Methods and duration of examination:
Submission of a seminar paper and presentation of the major findings

Emphasis of the grade for the final grade: Please check regulations of the study programme

Aim of the module (expected learning outcomes and competencies to be acquired):
The subject of financial econometrics has attracted substantial attention in recent years, especially with the 2003 Nobel Prize awards to Robert Engle and Clive Granger. The objective of the lecture is to provide some knowledge of financial time series analysis, introduce some statistical tools useful for analyzing these series, and gain experience in financial applications of various econometric methods.

Contents of the module:
1. Random walk model and efficient market hypothesis
2. Univariate time series models (ARMA, GARCH)
3. Multivariate time series models and its applications
4. Multivariate volatility models
5. Cointegration

Teaching and learning methods:
Presentation, discussion

Literature (compulsory reading, recommended literature):
Cf. track module with the same title.

Further information:
Registration in Moodle Viadrina required.