Timetable information in the Course Catalogue may be subject to change.

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : Business School : Business Studies

Undergraduate Course: Research Methods in Finance 2 (BUST08050)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryThe course is only open to Year 2 students in the following degree programmes:
MA Accounting and Finance
MA Finance and Business

As a follow-up course of Research Methods in Finance 1, this course aims to help you learn and refine your knowledge of and skills in quantitative methods commonly applied in finance research.
Course description This course aims to help you learn and refine your knowledge of and skills in quantitative research methods that can be applied to your Dissertation research project in the 4th year.

Outline Content

1. Recap of materials taught in Research Methods in Finance 1.
2. Ordinary Least Squares (OLS)
3. Multiple linear regression
4. Violations of OLS assumptions, consequences and correction.
5. Further topics in regression, e.g., non-linear terms, dummy variables and interactions, etc.
6. Time-series analysis.
7. Panel data analysis

Student Learning Experience

You are expected to actively prepare for and engage with the learning materials for the lectures. You will develop practical skills in handling financial data and will learn to perform empirical tests using an econometric software package during the computer lab sessions. You are expected to use the weekly textbook readings independently to support your learning.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Research Methods in Finance 1 (BUST08049)
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 20, Seminar/Tutorial Hours 8, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 168 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% Data project and report (Individual) - 1500 words - Assesses all course Learning Outcomes.
Feedback Formative: Feedback is provided throughout the course.

Summative: Feedback is provided on assessment within agreed deadlines.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. You will demonstrate a knowledge and understanding of key econometric techniques for the empirical analysis of economic phenomena, along with application of these techniques in the contexts of finance research.
  2. You will be able to develop practical/technical competencies, including quantitative analysis, interpretation of data and programming of statistical packages, and to demonstrate general IT literacy.
  3. You will be able to present outputs from statistical software in ways that are consistent with the convention in the academic finance literature. You will also be able to communicate in writing the meaning and significance of your statistical findings.
  4. You will demonstrate personal effectiveness through task-management and time-management through the ability to successfully complete an individual empirical research assignment.
Reading List
Jeffrey M. Wooldridge. Introductory Econometrics: A Modern Approach, 4e, Cengage Learning, 2009.
Additional Information
Graduate Attributes and Skills Communication, ICT, and Numeracy Skills

After completing this course, students should be able to:

Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts.

Cognitive Skills

After completing this course, students should be able to:

Be self-motivated; curious; show initiative; set, achieve and surpass goals; as well as demonstrating adaptability, capable of handling complexity and ambiguity, with a willingness to learn; as well as being able to demonstrate the use digital and other tools to carry out tasks effectively, productively, and with attention to quality.

Knowledge and Understanding

After completing this course, students should be able to:

Demonstrate a thorough knowledge and understanding of contemporary organisational disciplines; comprehend the role of business within the contemporary world; and critically evaluate and synthesise primary
and secondary research and sources of evidence in order to make, and present, well informed and transparent organisation-related decisions, which have a positive global impact.

Identify, define and analyse theoretical and applied business and management problems, and develop approaches, informed by an understanding of appropriate quantitative and/or qualitative techniques, to explore and solve them responsibly.
KeywordsNot entered
Course organiserDr Maria Boutchkova
Tel: (0131 6)51 5314
Course secretaryMr Scott Fitzsimmons
Help & Information
Search DPTs and Courses
Degree Programmes
Browse DPTs
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Important Information