Postgraduate Course: Research Methods in Finance (CMSE11085)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 15 |
| Home subject area | Common Courses (Management School) |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | The course builds on the Term 1 module &«Statistics for Finance&ª and provides an introduction to some basic econometric techniques used in empirical research in finance. The philosophy of this course is &«learning by doing&ª. At the end of this module you will learn how to apply a number of classical empirical methods in finance by replicating research based on selected published papers. This will provide an introduction to some practical tools of research using real data and to the importance of concise writing and presentation of results using informative graphs and tables. Finally, during this module you will get an introduction to using Eviews for the analysis of both cross-sectional and time series data and an opportunity to obtain this data using a research data base like Datastream/Wharton Research Data Services. These skills will be valuable for those wishing to pursue a career in the finance industry. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | Finance PGs only
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| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
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| Delivery period: 2011/12 Semester 2, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| No Exam Information |
Summary of Intended Learning Outcomes
KNOWLEDGE AND UNDERSTANDING
On completion of the course students will have learned:
Building Block Skills
> Understand and develop skills to interpret financial data and their &«stylized facts&ª
> Develop skills for interpreting estimated economic relationships using statistical analysis.
> Understand the behaviour of economic and financial variables over time.
> Know how to present and interpret the results of statistical and econometric analysis of data.
> Have an understanding of some commonly used research methods and techniques in finance
Advanced Topics
> Get an introduction to important areas and models used in current empirical research in finance
> Understand how to set up a research question, develop and test hypotheses using real-world data
> Learn how to present data, perform econometric tests and present these and their economic implications.
INTELLECTUAL SKILLS AND PERSONAL DEVELOPMENT
The course will develop analytical, problem-solving and presentational skills.
Cognitive Skills:
On completion of the course students should have demonstrated that they are able to:
> Know how to present and interpret the results of statistical and econometric analysis of data.
> Have an understanding of some commonly used research methods and techniques in finance
> Get an introduction to important areas of current empirical research in finance
> Understand how to set up a research question, develop and test hypotheses using real-world data
* Understand basic financial market theory
* Use evidence to assess the validity of theory
* Evaluate competing theoretical explanations
Key Skills:
On completion of the assessed course work students should be able to:
* Identify relevant research material and other evidence
* Use evidence to assess the validity of theory
* Integrate research material into a coherent argument
* Communicate research findings clearly
SUBJECT SPECIFIC SKILLS
Students will get an overview of important research methods commonly used in finance and understand how theoretical models are tested using real-world data. Students will also learn how to use Eviews a standard and widely used statistical/econometric software package.
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Assessment Information
| The course will be 100% assessed through the submission of empirical project(s) based on analysis and interpretation of real-world data. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | RM |
Contacts
| Course organiser | Prof Abhay Abhyankar
Tel: (0131 6)50 8075
Email: a.abhyankar@ed.ac.uk |
Course secretary | Ms Sarah Jack
Tel: (0131 6)51 3854
Email: Sarah.Jack@ed.ac.uk |
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© Copyright 2011 The University of Edinburgh - 16 January 2012 5:49 am
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