Excerpt from course description

Quantitative Methods for Finance


This course lays foundation for understanding of quantitative methods most commonly used in finance worldwide. These include time value of money, statistical concepts, probability concepts, hypothesis testing, regression analysis, and simulation methods. This course also introduces MATLAB programming, an essential programming language that will be used in the rest of the programme.

Course content

Part I: Review

  1. Probability theory
  2. Descriptive statistics
  3. Sampling and estimation
  4. Hypothesis testing

Part II: Regression analysis

  1. Simple linear regression
  2. Multivariate regression
  3. Issues in regression analysis

Part III: Modelling uncertainty with Matlab

  1. Modelling uncertainty in financial markets
  2. Monte Carlo simulations


This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.