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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Quantitative Research Methods in Finance (CMSE11463)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryThe course builds on the semester 1 course CMSE11086 Statistics for Finance and provides an introduction to some econometric techniques commonly-used in empirical finance research. The first part of the course provides a deeper treatment of Ordinary Least Squares and its assumptions. The second part of the course covers various econometric techniques through their applications in contemporary finance research.
Course description You will learn how to apply a number of classical empirical methods in finance by replicating research based on selected studies in finance. This will provide an introduction to some practical tools of research using real data. Through coursework assessment, students will learn how to present empirical results through report writing and informative graphs/tables. These skills are essential for successfully writing a good quality postgraduate dissertations. Analytical and critical thinking skills obtained through this course are particularly relevant for those wishing to pursue a career in the finance industry.

Outline Content

Topics covered in this course include multiple regression analysis, ordinary least squares, statistical inference, dummy variables, interaction terms, heteroskedasticity and autocorrelation in the error term, panel data, event study, and basic asset pricing tests.

Student Learning Experience

The tutorials will be a combination of theoretical exercises and STATA based problems. Support sessions will also be available to help students keep track of their progress on their assessment.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2024/25, 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 10, Seminar/Tutorial Hours 14, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 170 )
Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 %
Additional Information (Assessment) 50% Mid-course exam (Individual) - Assesses course Learning Outcomes 1, 2, 3

50% Coursework (Individual) - Assesses all course Learning Outcomes
Feedback Formative: Feedback will be provided throughout the course.

Summative: Feedback will be provided on the assessments within agreed deadlines.
Exam Information
Exam Diet Paper Name Hours & Minutes
Outwith Standard Exam Diets MarchQuantitative Research Methods in Finance (CMSE11463): Mid-Course Exam2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Present and critically interpret the results of statistical and econometric analysis of data.
  2. Understand and critically discuss some commonly used research methods and techniques in finance.
  3. Critically discuss important areas of current empirical research in finance.
  4. Set up a research question, develop and test hypotheses using real-world data.
  5. Use evidence to assess the validity of theory and critically evaluate competing theoretical explanations.
Reading List
Wooldridge, J. (2015), Introductory Econometrics: A Modern Approach, 6th edition, Thomson
Additional Information
Graduate Attributes and Skills Communication, ICT, and Numeracy Skills

After completing this course, students should be able to:

Convey meaning and message through a wide range of communication tools, including digital technology and social media; to understand how to use these tools to communicate in ways that sustain positive and responsible relationships.

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.

Practice: Applied Knowledge, Skills and Understanding

After completing this course, students should be able to:

Apply creative, innovative, entrepreneurial, sustainable and responsible business solutions to address social, economic and environmental global challenges.

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

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 secretaryMiss Lindsay Hunter
Tel: (0131 6)50 3823
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