TIØ4317 - Empirical and Quantitative Methods in Finance


Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours C

Course content

The course discusses the most common empirical and quantitative approaches in financial econometrics. Topics include the models for descriptive statistics, regression analysis, quantile regression, risk modelling, portfolio optimization, extreme value statistics, principal component analysis, time series models, multivariate models, co-integration, volatility and correlation, regime switching models, panel data, discrete choice models, simulation. The course also includes a lecture on how to write empirical master thesis / academic papers.

Learning outcome

Position and function within the study program: This is an elective course in the 8. semester of the MTIØT program, and is part of the qualification for the specialization in Financial Engineering. It builds on TIØ4145 Corporate Finance. We make use of the knowledge gained in the compulsory courses in mathematics, statistics and information technology, and in TIØ4116 Microeconomics and Investment Analysis. The course fits well with TIØ4140 Project Evaluation and Financing. It contributes to the learning objective of the MTIØT program, point 4.1, Portfolio selection, Financial risk measurement and management, Financial econometrics. The course will convey the following knowledge: -The theoretical foundation regarding analysis of financial data, portfolio optimization and risk management, practical usage of software and databases, how to write empirical master thesis and academic papers. The course will give understanding of methods of analysing and processing of financial data using econometric models.

Learning methods and activities

Lectures and exercises. The students need to get excercies approved in order get acess to the exam. Detailed rules about exercises will be given with the start of semester. The course will be given in English. All material will be in English.

Compulsory assignments

  • Exercises

Further on evaluation

If there is a re-sit examination, the examination form may change from written to oral.

Course materials

Brooks C. (2019), Introductory Econometrics for Finance, Cambride University Press

Tsay R.S. (2010), Analysis of Financial Time Series, Wiley

Credit reductions

Course code Reduction From To
FIN3002 7.5 AUTUMN 2007
MET3001 1.5 AUTUMN 2022
FIN3008 5.0 AUTUMN 2023
FIN8608 5.0 AUTUMN 2023
More on the course



Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Technological subjects
  • Economics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Industrial Economics and Technology Management


Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 C 2024-05-22 15:00 INSPERA
Room Building Number of candidates
SL110 Sluppenvegen 14 59
Summer UTS School exam 100/100 C INSPERA
Room Building Number of candidates
  • * 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.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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