Financial Econometrics
| Code | School | Level | Credits | Semesters |
| BUSI4448 | Business | 4 | 10 | Spring UK |
- Code
- BUSI4448
- School
- Business
- Level
- 4
- Credits
- 10
- Semesters
- Spring UK
Summary
The module provides an introduction to modern econometric techniques for modelling financial data. It covers relatively advanced econometric techniques such as dynamic panel data modelling, generalised methods of moments, discrete choices models and modelling volatility via ARCH/GARCH models.
Target Students
Available for MSc Finance and Investment, MSc Accounting and Finance students, MSc Banking and Finance, MSc Financial Technology AND MSc Exchange students.
Classes
- One 2-hour lecture each week for 9 weeks
- One 2-hour laboratory each week for 2 weeks
This module is taught through a combination of laboratory sessions and lectures.
Assessment
- 100% Exam (2-hour): Written in-person exam.
Assessed by end of spring semester
Educational Aims
To introduce students to modern theory and practices of financial econometrics.Learning Outcomes
Knowledge and understanding:
This module develops a knowledge and understanding of:
• Tools and techniques for transforming (big) data into useful information for business analysis and decision support
Intellectual Skills:
This module develops:
• 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
• Using information and knowledge effectively in order to abstract meaning from information and to share knowledge, including the use of quantitative skills
Professional Practical Skills:
This module develops:
• 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
• Effective performance within team environments and the ability to recognise and utilise individuals' contributions in group processes and to negotiate and persuade or influence others; team selection, delegation, development and management. Leadership and performance management: selecting appropriate leadership style for different situations; setting objectives, motivating, monitoring performance, coaching and mentoring
Conveners
- Timothy Worrin Jack Bailey