Introductory Econemetrics for Finance ECON5131
- Academic Session: 2023-24
- School: Adam Smith Business School
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: No
Short Description
This 6-week-teaching course aims to quickly foster abilities to apply basic econometric tools to finance-related data. Throughout the course, empirical applications are emphasised.
Timetable
The course runs over six weeks. Within each week:
- One 2-hour teaching class each week.
- One 1-hour laboratory session each week.
Requirements of Entry
Please refer to the current postgraduate prospectus at: http://www.gla.ac.uk/postgraduate/
Excluded Courses
None
Co-requisites
None
Assessment
1-hour In-Course Exam at the end of Semester 2.
2-hour Degree Exam in April/May.
Main Assessment In: April/May
Course Aims
The purpose of this course is to provide students with basic insights into econometrics in order to understand and
critically analyse financial decisions. The course provides students with a range of statistical tools to analyse financial
data. The course thereby aims to provide students with a combination of critical appraisal of the importance of
statistical insights to inform financial decision, and to equip students to carry out basic statistical analyses of financial
data sets.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
1. Critically analyse statistical data to inform financial decision-making;
2. Interpret key statistical concepts and apply them to the analysis of relevant numerical data;
3. Apply basic statistical techniques and models to the analysis of numerical data (e.g. Classical Linear
Regression; Uni-Variate Time Series analysis; Panel Regressions; Limited Dependent Model).
4. Articulate and evaluate the importance of statistical insights to inform financial strategy development.
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.