Please note: there may be some adjustments to the teaching arrangements published in the course catalogue for 2020-21. Given current circumstances related to the Covid-19 pandemic it is anticipated that some usual arrangements for teaching on campus will be modified to ensure the safety and wellbeing of students and staff on campus; further adjustments may also be necessary, or beneficial, during the course of the academic year as national requirements relating to management of the pandemic are revised.

Principles of Financial Econometrics ACCFIN5039

  • Academic Session: 2022-23
  • School: Adam Smith Business School
  • Credits: 20
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Available to Erasmus Students: 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.


10 x 2 hour lectures and 6 x 1 hour tutorials

Requirements of Entry

Please refer to the current postgraduate prospectus at:

Excluded Courses

ACCFIN5217 Financial Econometrics







Word Length/Duration


Degree examination


2 hours

Main Assessment In: December

Course Aims

The aim of this course is to enable students, who have little knowledge about statistics and econometrics, to develop an understanding of data and statistical analysis. The course will include coverage of the statistical and quantitative techniques, which are used in the study and practice of accounting and finance research.

Intended Learning Outcomes of Course

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

1. Implement basic and necessary statistical techniques to compare and illustrate probability distributions effectively with descriptive and inferential statistics to explain events relevant to research in finance, economics and accounting

2. Apply knowledge of descriptive and analytical outcomes from theory to select and use appropriate quantitative methods for problem solving and research in a hypothesis testing framework and formulate a rigorous hypothesis test using sample information

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

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

5. Implement methods to analyse data of different nature and to use advanced model specifications

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.