EFIMM0127 Summative Coursework
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2023/24 Postgraduate Taught Coursework Brief
School of Economics
Unit: EFIMM0127
Assessment’s Contribution to Unit: 100%
Release Date: 27/02/2024
Submission Date: 19/04/2024
Feedback Released: 10/05/2024
Students are strongly advised to submit their work ahead of the deadline. Should you have a problem with submission
to Blackboard you should email econ-pgt@bristol.ac.uk for guidance immediately.
• Your answer should approximately be between 2300-2700 words. Answers much longer than this are unlikely to be sufficiently concise, whilst answers shorter than this are likely to be missing key details, and are likely to gain lower intellectual marks.
• Assignments handed in after the deadline, without a pre-arranged extension, will be subject to late penalties. Details relating to penalties are at the end of this document.
• A reference list/bibliography is required. This list does not contribute to the word count. Information on referencing can be found via ourlibrary.
• Please use Arialor Calibri font at 12-point.
• Your assignment should be combined into a single document and submitted in pdf format with a document
name containing your student number.
• Your answer will be assessed using theUniversity Marking Criteria.
This is a piece of COURSEWORK that contributes to your Unit mark and you can:
• Use resources to support you in completing your answer.
• Draw upon a range of accepted resources including, your own notes, lecture slides/recordings, course material, textbooks, journal articles, online resources. ALL work should be written in your own words.
• Ask for help from your personal tutors or academic lecturers if you do not understand an aspect of the coursework.
• As part of the support provided for this unit your tutors may indicate they are able to offer advice and/or review all or part of your work prior to submission. You should ensure you are aware of such opportunities and make
use of them to improve your work.
• Broad discussion with your tutors, fellow students, friends and family on the assessment topic and your ideas/approach may help you to further your knowledge and understanding.
• Use your network of family and friends to gain support and encouragement during the assessment period.
Please remember this is a formal assessment and you should behave in a manner consistent with our values. This means you cannot:
• Allow others to directly contribute to your written answer by revising or addingto the academic content. This is collusion and is against University Regulations.
• Share your assessment with others or ask others to share their work with you.
• Copy and paste any material (text, images, coding, calculations) from other sources, including teaching material and shared revision notes directly into your answer without appropriate acknowledgement. This is plagiarism and is against University Regulations. There is advice about referencing from theUniversity Library.
• Pay another person or company to complete the assessment for you. This is contract cheating and is against University Regulations.
• You may not use artificial intelligence to write any part of an assignment for you. This includes original drafting but also text that results from prompts like “Improve the wording in this paragraph.” Your assignment should never contain passages, sentences or phrases that are taken word-for-word from artificial intelligence output. Just as for other sources, the exception is if you put this text in quotation marks and cite the original (artificial intelligence) source.
EFIMM0127 Summative Coursework
Stock markets and the Economy
In this coursework, we would like you to prepare an empirical analysis on the relationships between stock markets and the economy. You can choose any stock price index(es), and/or any economic variable(s) that you think is relevant, to apply your understanding of the time series concepts covered in the unit.
Data: You can use the data provided in the Data Bank of the unit, that you have been working on for the problem sets. To personalize your data, select a subsample of your choice (not a random sample) to work on for your assignment. You can select the sample either in the csv file, or in Stata or R.
In your Stata do file or the R script file, name one variable with your initials, for example, my variable would be named as ‘RK’ for Rabeya Khatoon (you should define your variables in your writeup appropriately).
Your analysis should include:
1. A brief discussion of the topic and why you think it is important (Approx. 200 words) [10 marks] 2. A brief literature review discussing relevant papers on the topic and how your work fits in there (Approx. 500 words) [10 marks]
3. Your sample and a discussion of basic time series properties including unit root tests of each of the variables you use. (Approx. 500 words) [10 marks]
4. A discussion of the appropriate methodology and its justification (you are not supposed to lay
down the methodology including derivations, a simple discussion including proper justification is what is needed) . For example, you might want to use any one of the following (Approx. 500 words) [20 marks]
a. A multivariate analysis based on a VAR/VECM model (analysis using the mean model)
b. A multivariate analysis of volatility that is a simple extension of a univariate GARCH model adding another variable to the mean equation
c. A multivariate analysis of volatility with a multivariate GARCH model
5. The empirical estimation results presented in tables and graphs as relevant and an interpretation/discussion of the findings (Approx. 500 words) [20 marks]
6. A brief conclusion including limitations of your analysis and way forward (Approx. 300 words) [20 marks]
7. An appendix including the codes from the statistical software that you use (Stata or R) (excluded from word count)
8. A reference section (excluded from word count) [10 marks]
Referencing
If you reference papers in your answers, you should reference them using a consistent referencing system, such as the Harvard referencing system; you should normally cite sources in the text. As a general rule, you should avoid using footnotes to reference.
• If you include a quote, it should be in quotation marks, and a page number included in the in-text reference.
• Whilst you should normally avoid larger quotes, if you include them, you should also indent the text.
If you cite a paper in your essay, you should also include a full reference to the paper in the reference list at the end of the paper.
• Do not list papers in your reference list that you have not referenced in the paper
University marking criteria (postgraduate)
|
|
Fail (<50%) |
Pass (50%-59%) |
(60%-69%) |
(70%+) |
|
Attainment of Learning Outcomes |
An inadequate level of knowledge and understanding of the basic concepts addressed by the question. |
A reasonable knowledge and understanding of the topic, although more basic than at merit level, and at least of essential reading and material covered in lectures. |
A good knowledge and understanding of the topic with clear indication of some reading beyond essential recommendations or material covered in lectures. A ‘good’ knowledge implies largely an absence of outright mistakes with clear evidence that you have understood the material and are not merely repeating it. |
An authoritative knowledge and understanding of the topic gained from wide-ranging reading that goes beyond essential recommendations or material covered in lectures. |
|
Application of Methods |
Able to use a proportion of the basic methods and techniques taught. |
Able to use most of the methods and techniques taught. |
Able to use well a range of methods and techniques to come to conclusions. |
Mastery of a wide range of methods and techniques. |
|
Analysis, Comprehension and Synthesis |
Inappropriate or irrelevant selection of content. |
An ability to use relevant material which is directed to the question. |
An ability to use relevant material which is directed to the question. |
An ability to manipulate material intelligently and to direct it to the question set. |
|
Technical Mastery |
Limited technical competence with major shortcomings in significant areas of the subject. |
Some technical competence but with shortcomings in significant areas of the subject. |
A good general level of technical competence perhaps with some shortcomings. |
A high level of technical competence with very few mistakes of any kind. |
|
Evaluation/Critical Analysis |
Little evidence of a critical perspective or of analysis so that the whole remains largely descriptive. |
Some evidence of the ability to engage critically with content, although not fully developed. |
A good ability to evaluate critically relevant theory and research. |
A well-developed ability to engage critically with that material. |
|
Quality of presentation |
Poor presentation |
Adequate presentation |
Very good presentation |
Excellent presentation |
Note: Because the marking criteria consider a number of dimensions, it is unlikely that a single piece of work fits nicely into all of the descriptions above. For example,a piece of work may have excellent presentation, but due to significant errors, and major deficiencies, the piece of work may still be awarded a fail mark.
2024-03-13
Stock markets and the Economy