Postgraduate Course: Research Methods in Carbon Finance (CMSE11205)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| 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 aims to help students develop the skills set that would enable them to effectively address the research methodology issues arising from their dissertations. The course will also provide students with transferable technical skills that could be useful in future work within a finance institution. |
| Course description |
This course has been created specifically for the MSc in Carbon Finance, reflecting the cross-disciplinary nature of the programme, as well as the niche aspects of Carbon Finance as an emerging discipline. Carbon Finance is a rapidly growing niche field which requires an understanding of statistics/econometrics as well as an understanding of the unique nature of carbon trading and investments. In addition to special focus on carbon financial analysis, this course will provide you with applications and motivations for statistical/econometrics model building in modern finance as a whole. The course content in this regard is similar to an undergraduate statistics course and will also be backed up by practical demonstration on an econometrics software package; hence the material should be accessible for both students with a sound understanding of key quantitative techniques and those who do not have this background but are willing to put an appreciable level of effort into learning the class material. The skills developed on this course are transferable and may also be very useful for your dissertation.
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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 2019/20, 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 5,
Summative Assessment Hours 32,
Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
90 )
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| Additional Information (Learning and Teaching) |
Pre-lecture preparations and studying for the Exam
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| Assessment (Further Info) |
Written Exam
60 %,
Coursework
40 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Individual Assessment worth 40%
Final exam worth 60%
Form of Assessment:
An examination counts for 60% of the grade. The remaining 40% is based on an econometrics-based assessment.
Assessment Criteria:
The exam and other assessments will be assessed using the University's Postgraduate Common Marking Scheme, as detailed in the Code of Practice for Taught Postgraduate Programmes. |
| Feedback |
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 students interpreting concepts during lab sessions, coursework Feedback and generic examination Feedback. |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S2 (April/May) | | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Identify, critically evaluate, select, justify and apply appropriate research methods to relevant research questions, in order to ensure that the evidence generated, its analysis and the conclusions drawn from it are valid and reliable.
- Present the findings of research in an academic manner.
- Define, critically evaluate and apply the major tools used by financial economists (correlation, regression and time series analysis).
- Link statistical and econometrics theory with empirical applications.
- Conduct empirical analysis with econometrics software packages such as EViews 8.
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Reading List
Koop, G. (2006) Analysis of Financial Data, John Wiley & Sons Ltd: Chichester. Accessible text for students new to statistics/econometrics.
Brooks, C. (2008) Introductory Econometrics for Finance, Cambridge University Press: Cambridge. Relevant text for financial econometrics.
Cortinhas, C. and Black, K. (2012) Statistics for Business and Economics, John Wiley & Sons Ltd: Chichester.
Booth, W. C., Colomb G. G. and Williams, J. M. (2008) The Craft of Research, 3rd Edition, University of Chicago Press.
Business Research Methods, Alan Bryman and Emma Bell, 2nd Edition. This is a text book which covers many research methods used in business and is used in many business schools as the standard research method text. |
Additional Information
| Graduate Attributes and Skills |
Cognitive Skills:
After completing this course, students should be able to:
- Develop analytical, numerical and problem solving skills
- Critically assess existing understanding in a defined area of knowledge;
- Recognize qualitative and quantitative techniques appropriate to the analysis of particular circumstances;
- Apply a range of relevant qualitative and quantitative research methods;
- Use relevant literature and data reference materials.
Subject Specific Skills:
After completing this course, students should be able to:
- Understand and use statistics notations and theory to solve a wide range of problems in Finance and particularly Carbon Finance
- Understand various research approaches which they can apply to their dissertation projects
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| Keywords | Not entered |
Contacts
| Course organiser | Dr Woon Sau Leung
Tel:
Email: |
Course secretary | Mrs Kelly-Ann De Wet
Tel: (0131 6)50 8071
Email: |
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