course-details-portlet

FIN3006

Applied Time Series Econometrics

This course is no longer taught and is only available for examination.

Credits 15
Level Second degree level
Language of instruction Norwegian
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

The course deals with how empirical analyzes are performed using time series data, which models and methods are relevant to various issues, and how empirical models can be used to give predictions. Empirical work with applications in financial economics and macroeconomics will be discussed. Assessments of what are good empirical approaches for different types of time series analyzes are emphasized.

Learning outcome

Knowledge

You learn

  • how researchers design empirical studies using time series data in financial economics and applied macroeconomics, including the formulation of econometric models and the use of different methods.
  • how to evaluate models and choose between different models
  • how empirical models can be used to give predictions and how the prediction properties can be evaluated

Skills

You should

  • be able to understand the challenges of conducting empirical analyzes using time series data
  • be familiar with different models and methods that are relevant for different types of time series analyzes
  • be familiar with how different models can be used to give predictions
  • be able to apply models and methods in own analyzes using time series data

General competence

You should be able to

  • read and understand reports and research articles that make use of models and methods discussed in the course
  • reveal problems and shortcomings in academically weak analyzes within topics dealt with in the course
  • use the course content as a basis for their own independent academic work, such as the master's thesis

Learning methods and activities

4 hours of organized learning activities each week.

Compulsory activity: Approved term paper(s) / exercise(s) / student presentations. Specific requirements will be announced at the beginning of the term, and an independent econometric work will be included. Compulsory activity must not be re-completed when repeating the exam.

Compulsory assignments

  • Obligatory course work

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
FIN3003 7.5 sp Autumn 2010
FIN3004 7.5 sp Autumn 2010
FIN8606 10 sp Autumn 2018
FIN3008 7.5 sp Autumn 2023
This course has academic overlap with the courses in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Financial Economics
  • Economics
  • Social Sciences

Contact information

Course coordinator

Department with academic responsibility

Department of Economics

Examination

Examination

Examination arrangement: School exam
Grade: Letter grades

Ordinary examination - Autumn 2023

School exam
Weighting 100/100 Examination aids Code C Date 2023-12-22 Time 09:00 Duration 5 hours Exam system Inspera Assessment
Place and room for school exam

The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.

Sluppenvegen 14
Room SL274
2 candidates
Room SL310 turkis sone
3 candidates

Ordinary examination - Spring 2024

School exam
Weighting 100/100 Examination aids Code C Date 2024-05-25 Time 09:00 Duration 5 hours Exam system Inspera Assessment
Place and room for school exam

The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.

Sluppenvegen 14
Room SL311 brun sone
1 candidate