Postgraduate Course: Econometrics Applications in Banking (CMSE11315)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 15 |
ECTS Credits | 7.5 |
| Summary | This course covers cross section and panel data techniques. Its main objective is to equip students with quantitative skills commonly needed at financial institutions and in empirical analyses used in MSc dissertations. The methods studied are illustrated with examples of their applications in banking. |
| Course description |
This course provides foundation knowledge that is required to 1. give students a broad understating of a variety of research questions and methodology used in empirical analyses in banking, 2. provide complementary information that is needed for students to benefit the most from courses taken on the MSc in Banking and Risk, and 3. equip students with practical skills to undertake dissertations, company sponsored projects , quantitative assignments and tasks at financial institutions.
Broadly speaking, five types of models are taught: basic linear model, linear models dealing with endogeneity, panel data, models with limited dependent variables and duration models.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2017/18, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
150
(
Lecture Hours 20,
Seminar/Tutorial Hours 9,
Summative Assessment Hours 2,
Revision Session Hours 1,
Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
115 )
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| Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Exam 50%
Coursework 50% |
| Feedback |
All students will be given at least one formative feedback or feedforward event for every assessment component in the course in time to be useful in the completion of summative work on the course.
Feedback on formative assessed work will be provided within 15 working days of submission, or in time to be of use in subsequent assessments within the course, whichever is sooner. Summative marks will be returned on a published timetable, which has been made clear to students at the start of the academic year.
Feedback will comprise individual feedback on student assignments and overall exam mark feedback in the form of a report. |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S2 (April/May) | Econometrics Applications in Banking (CMSE11315) | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand the objectives and the main characteristics of each regression model studied in the course
- Understand and critically assess the results of econometric models
- Understand and critically discuss the implications of the results of econometric models
- Understand and critically evaluate the limitations of the models used
- Decide the most suitable regression model vis-à-vis the characteristics of the data and the problem analysed
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Reading List
Wooldridge, Jeffrey (2010). Econometric Analysis of Cross Section and Panel Data. MIT Press, 2nd ed.
Verbeek, Marno (2012). A Guide to Modern Econometrics. John Willey and Sons, 4th ed.
Hill, Campbell (2012). Using SAS for Econometrics. John Wiley and Sons. |
Additional Information
| Graduate Attributes and Skills |
Cognitive Skills
On completion of the course students will be able to:
- perform quantitative analyses in accordance with the type of the data used
- plan and execute projects of empirical research
- analyse the association among values in data sets
- assess the relevance of the results of quantitative analyses
Subject Specific Skills
After completing this course, students should be able to:
- run tests on the suitability of econometric models
- interpret the outputs of econometric models
- evaluate the performance of econometric models
- use the statistical package SAS to run several types of regressions |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Davide Mare
Tel: (0131 6)51 5077
Email: |
Course secretary | Miss Ashley Harper
Tel: (0131 6)51 5671
Email: |
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