Quantitative Research Methods for Finance and Investment
| Code | School | Level | Credits | Semesters |
| BUSI4566 | Business | 4 | 20 | Autumn UK |
- Code
- BUSI4566
- School
- Business
- Level
- 4
- Credits
- 20
- Semesters
- Autumn UK
Summary
Provide students with a good understanding of econometrics tools covering topics such as statistical distribution theory, multiple regression analysis for cross-sectional data, time series analysis, panel data and qualitative response models with finance related applications.
Target Students
Available to MSc Finance and Investment students, MSc Finance Technology (FinTech) students and MSc Exchange students.
Classes
- One 2-hour lecture
- Two 2-hour lectures each week for 9 weeks
Assessment
- 80% Exam 1 (1-hour): In-person exam.
- 10% In-Class Test (1-hour): Computer Lab exam.
- 10% In-Class Test 2 (1-hour): Computer Lab exam.
Assessed by end of autumn semester
Educational Aims
To provide a good training in applied econometrics techniques as relevant to finance.Learning Outcomes
Knowledge and understanding:
• Tools and techniques for transforming (big) data into useful information for business analysis and decision support.
Intellectual Skills:
• Being able to think critically and be creative: manage the creative processes in self and others; organise thoughts, analyse, synthesise and critically appraise. This includes the capability to identify assumptions, evaluate statements in terms of evidence, detect false logic or reasoning, identify implicit values, define terms adequately and generalise appropriately.
• Being able to solve complex problems and make decisions: establish criteria, using appropriate decision-making techniques including identifying, formulating and solving business problems; and the ability to create, identify and evaluate options; the ability to implement and review decisions.
• Using information and knowledge effectively in order to abstract meaning from information and to share knowledge, including the use of quantitative skills.
• Being able to learn and use specialised statistical software.
Professional Practical Skills:
• The ability to conduct research and enquiry into business and management issues either individually or as part of a team through research design, the collection and analysis of quantitative data, synthesis and reporting.
Transferable (key) Skills:
• High personal effectiveness: critical self-awareness, self-reflection and self-management; time management; conflict resolution, displaying commercial acumen, the ability to continue to learn through reflection on practice and experience.