Course Catalogue

Econometrics of Financial Markets ACCFIN5039

  • Academic Session: 2026-27
  • School: Adam Smith Business School
  • Credits: 15
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

This course introduces, at the level of beginners, the concepts, theories and techniques in statistics and econometrics modelling relevant to conducting research in finance, economics and accounting.

Timetable

8 x 2 hour lectures

4 x 1 hour tutorials

Requirements of Entry

Students must be registered on one of the associated programmes listed in this course specification.

Excluded Courses

None

Co-requisites

None

Assessment

1. Written assignment, including essay; Group; 2250 words; 25%; ILOs 2-3, 6. 

2. Degree exam: on campus; Individual; 120 minutes; 75%; ILOs 1-5.

Main Assessment In: December

Course Aims

The aim of this course is to:

■ Identify and describe fundamental concepts of data and statistical analysis at an intermediate level.

■ Evaluate the suitability of statistical and quantitative techniques used in finance research.

Intended Learning Outcomes of Course

By the end of the course students will be able to:

1. Apply basic and necessary statistical techniques to provide descriptive/inferential statistics and describe and compare different types of data in finance, economics and accounting.

2. Formulate and conduct hypothesis tests using sample information and interpret rigorously the results.

3. Assess the nature of data and use regression analysis to estimate the relationships between variables.

4. Evaluate the violations of the ordinary least square estimation method and select appropriate estimation methods to deal with the consequence of the violations.

5. Analyse data of varying types and apply advanced model specifications that are most appropriate to the underlying data structure and distributional characteristics.

6. Work collaboratively in a group to produce a combined piece of coursework.

Minimum Requirement for Award of Credits

No exceptions