Antagningsdata

Choose region and language

Choose the language for the entire website.

Published education catalogue

Quantitative methods for financial economics

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: NEGC50

The course comprises two main units focusing on the mathematical and statistical methods respectively that are especially useful in financial economics. The mathematics unit includes solutions to geometric series and how these relate to calculating values of financial instruments. An introduction to matrix algebra used in financial economics and statistics to solve simultaneous equation systems follows, and integration of functions and solutions to recurrence relation and differential equations conclude the first unit. The statistics unit elaborates on the first unit with an emphasis on statistical methods for measuring risk and estimation of so called stochastic processes, which both are central concepts in various areas of financial economics. Special methods such as estimation of survival functions, Markov processes, principal component analysis and Monte Carlo simulation are also introduced. The emphasis is on applying both mathematical and statistical methods to applied problems in financial economics. Students learn to use different software for both types of applications. Instruction is in the form of both lectures and laboratory sessions.

Entry requirements

Economics 60 ECTS credits, including NEGB01 Economics 30 ECTS credits, or NEGB25 Microeconomics and Quantitative methods 15 ECTS credits and NEGB22 Econometry 7.5 ECTS credits, or equivalent. Upper secondary school level English 6 or B or equivalent and Mathematics 3b or equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

Retrieved: .

Published: .

Show source version

Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-03-03T14:11:11