FIN3006 - Applied Time Series Econometrics

About

Examination arrangement

Examination arrangement: Written examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Written examination 100/100 6 hours C

Course content

The course treats econometric methods for analysis of time series with a particular focus on applications in finance and macroeconomics. The topic deals with strategies for empirical modelling of dynamic models. Methods for modelling non-stationary variables are emphasised. The course introduces methods for studying non-linear models and regime shifts, modelling volatility in financial variables and the use of panel data. Examples of specific applications are given, both in empirical macroeconomics and finance.

Learning outcome

Knowledge
You learn
- assumptions and properties of the statistical models and distributions used in modern dynamic econometrics, with special emphasis on financial and macroeconomic models
- the Vector Autoregressive model (VAR), models with non-constant variance and non-linear models
- how to test hypotheses about non-stationarity
- how to test hypotheses about cointegration relationships in a system and how to determine empirically the number of such relationships
- how to estimate and do inference in cointegrated VAR’s
- how to test hypotheses about non-constant variance
- how to estimate models with non-constant variance
- how to test hypothesis about non-linearity
- how to estimate non-linear models
- how to forecast with econometric models

Skills
You should be able to
- formulate dynamic econometric models theoretically
- test the assumptions of dynamic econometric models using modern software
- apply financial and macroeconomic econometric models, for modeling and for forecasting

General competence
You should be able to
- read and understand research papers on the topics of this course

Learning methods and activities

4 hours of lectures every week. Two compulsory term papers.

Compulsory assignments

  • Two approved term paper

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Required previous knowledge

None

Course materials

Announced at the beginning of the term. Mandatory software will be given in the curriculum

Credit reductions

Course code Reduction From To
FIN3003 7.5 2010-09-01
FIN3004 7.5 2010-09-01

Timetable

Detailed timetable

Examination

Examination arrangement: Written examination

Term Statuskode Evaluation form Weighting Examination aids Date Time Room *
Autumn ORD Written examination 100/100 C 2017-12-18 09:00
Spring ORD Written examination 100/100 C
  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.