Applied Econometrics 2
| Module title | Applied Econometrics 2 |
|---|---|
| Module code | BEEM012 |
| Academic year | 2023/4 |
| Credits | 15 |
| Module staff | Mr Julian Dyer (Convenor) |
| Duration: Term | 1 | 2 | 3 |
|---|---|---|---|
| Duration: Weeks | 11 |
| Number students taking module (anticipated) | 50 |
|---|
Module description
Summary:
In this module you will be introduced to important concepts of time series econometrics and their usefulness in analysing financial/economic data. It is designed to give you an understanding of why the specific econometric methods are used, to provide you with a working ability of applying modern econometric methods and illustrate their application in finance.
Additional Information:
Internationalisation
- Since econometrics relies on mathematical and statistical tools, the course content is relevant internationally
Sustainability
- All of the lecture material is available on ELE (Exeter Learning Environment)
Employability
- Students acquire the ability to analyse financial data and understand the foundations of economic theory. They also develop their technical expertise in a computer software tool, logical articulation of solutions for financial data questions, and their confidence in identifying, calculating and solving research problems. These valuable skills will help them for a career in business, international organisations, government, academia or banking
Module aims - intentions of the module
The aim of the module is to introduce you to the fundamental techniques used in the analysis of financial data, and to provide the necessary economic background to carry out empirical investigations.
You will need a good command of module-specific skills to complete an empirical dissertation, and to succeed in a job after they graduate. Effective personal and discipline-specific skills will also help you to complete other modules in the programme.
Intended Learning Outcomes (ILOs)
ILO: Module-specific skills
On successfully completing the module you will be able to...
- 1. Apply econometric methods to theoretical economic/financial models
- 2. Apply modern econometric techniques in the analysis of economic/financial data
ILO: Discipline-specific skills
On successfully completing the module you will be able to...
- 3. Analyse and solve theoretical and applied economic/financial questions
- 4. Formulate the hypothesis of interest, derive the necessary tools to test this hypothesis and interpret the results
- 5. Apply knowledge of financial econometrics to real-world problems
ILO: Personal and key skills
On successfully completing the module you will be able to...
- 6. Learn programming concepts necessary to solve empirical problems
- 7. Approach empirical questions with firm foundations in theory
- 8. Develop confidence in identifying, tackling and solving research problems independently
Syllabus plan
Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover some or all of the following topics:
- Linear time series analysis
- Unit root processes
- Cointegration
- Multivariate Models
- Volatility Models
- Nonlinear models including Markov-switching and threshold models
- The predictability of asset returns
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 32 | 118 | 0 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled learning and teaching | 22 | Lectures |
| Scheduled learning and teaching | 10 | Tutorials |
| Guided independent study | 118 | Private study |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| In-class problems and assignments | 3 hours each | 1-8 | Oral or written |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 55 | 45 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Empirical project proposal | 5 | <1 page of A4 | 1-2, 5-8 | Written |
| Empirical project | 50 | 2500 words (10-12 side of A4) | 1-2, 5-8 | Oral or written |
| Written examination | 45 | 1.5 hours | 1-4 | Written |
Details of re-assessment (where required by referral or deferral)
| Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
|---|---|---|---|
| Empirical project proposal | <1 page of A4 | 1-2, 5-8 | Referral/deferral period |
| Empirical project | Empirical project (2,500 words) 50% | 1-2, 5-8 | Referral/deferral period |
| Written exam | Written exam (1.5 hours) 45% | Written exam (1.5 hours) 50% | Referral/deferral period |
Re-assessment notes
Deferral – if you miss an assessment for certificated reasons judged acceptable by the Mitigation Committee, you will normally be either deferred in the assessment or an extension may be granted. The mark given for a re-assessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.
Referral – if you have failed the module overall (i.e., a final overall module mark of less than 50%) you will be required to redo the assessment(s) as necessary. If you are successful on referral, your overall module mark will be capped at 50%.
Indicative learning resources - Basic reading
Basic reading:
- C. Brooks (2014), Introductory Econometrics for Finance, 3rd edition, Cambridge
- W. Enders (2004), Applied Econometric Time Series, 2nd edition, Wiley Series in Probability and Statistics. P. H. Franses and D.van Dijk (2006), Non-linear Time Series Models in Empirical Finance, Cambridge
- J. Y. Campbell, A.W. Lo and A.C.MacKinlay(1996), The Econometrics of Financial Markets, Princeton University Press. T.C. Mills (1999), The Econometric Modelling of Financial Time Series, 2nd edition, Cambridge
Indicative learning resources - Other resources
None
| Credit value | 15 |
|---|---|
| Module ECTS | 7.5 |
| Module pre-requisites | None |
| Module co-requisites | None |
| NQF level (module) | 7 |
| Available as distance learning? | No |
| Origin date | 16/07/2014 |
| Last revision date | 31/05/2023 |
