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ACCFIN5231

Big Data Analytics

Question

Suppose you are a quantitative analyst specializing in big data and machine learning. Your manager is asking you to write a research report on a finance-related topic using big data techniques. Examples include studying the relationship between two (or more) financial variables, designing risk management strategies, implementing trading strategies on different assets, optimizing your investment portfolio, forecasting returns/volatilities, etc. It is your job to find the appropriate dataset, but you can consult your lecturer. If you have difficulty in choosing a research topic, please do not hesitate to contact the lecturer.

Your final report should include six parts: Introduction, Literature

Review, Data and Empirical Analysis, Conclusion, References and Appendix.

Intended Learning Outcomes being assessed

1. Demonstrate knowledge of advanced aspects of big data analytics

2. Apply appropriate machine learning techniques to analyse big data sets

3. Assess the statistical significance of data mining results

4. Utilize statistical packages (R and Python) to perform basic data mining tasks on big data

Feedback method

[edit only if necessary]

Individual feedback will normally be provided via Moodle.  Generic (class-level) feedback and grade profiles will normally be posted on Moodle.

Students can use academic staff office hours for additional feedback on your work.

Preparing your coursework

Document creation

1. Please use this file naming convention: StudentID_CourseCode_QuestionNo. e.g. 7299019_ACCFIN4029_1.  If there is no question choice, use 1 as the default.

2. The file type must be .doc, .doxc, .xls, .xlsx or .pdf.

3. Complete the cover sheet provided in the course Moodle: you must input your student ID (number only, excluding the first letter of your second name) and date.

4. Include your student ID in your document, ideally in the header on each page with the course code and title, e.g. 2489545_ACCFIN1003_Finance1.

5. The maximum file size limit on Moodle is 230MB

Formatting

You won’t be penalised if you don’t follow this good practice on formatting, but it will help your markers.

· Use a Sans Serif font in black, e.g. Arial, Avant Garde, Calibri, Helvetica and Geneva.

· Use font size 12.

· Use 1.5 or double line spacing.

· Align your text to the left margin.

· Add page numbers.

Referencing and bibliography

You should reference your sources appropriately and list these in a bibliography.  The bibliography is excluded from your word limit.  You should use the ‘Harvard’ referencing system, as detailed below for written coursework.

In the text, use the following referencing conventions:

· Smith (1999) argues that…. or

· It has been argued that……. (Smith, 1999).

· If you use a direct quote, use quotation marks and cite the page number as well as the author and date, i.e. (Smith, 1999, p. 4).

· If you have two items by the same author in the same year, refer to one as ‘a’ and the other as ‘b’, i.e. Smith (1999a) and Smith (1999b).

For more information, please refer to the University Library webpage.

Student conduct

Plagiarism

You must adhere to the University’s rules regarding plagiarism which are based on the premise that ‘all work submitted by students for assessment is accepted on the understanding that it is the student's own effort’.  More specifically, you must avoid plagiarism in the following forms:

· Copying from sources without ‘formal and proper acknowledgement’

· Inappropriate collaboration – working with other students to produce individual coursework or copying work produced by another student

· Submitting work which you have obtained from another source, e.g. an essay mill

· Self-plagiarism – basing coursework on work that has already been submitted for assessment purposes.

For advice and more information, please consult:

· LEADS web pages

· University Plagiarism Statement

Turnitin

Note that your coursework will be processed through Turnitin for similarity checking.  You can submit a draft of your coursework to Turnitin before submitting your final copy.  You will find information about using Turnitin in the Student Information Point Moodle.

Submitting your coursework

You must submit in accordance with the stated time and date on page 1.  See below for information if you are unable to do so.

Finalising your document

Please follow the steps listed below:

1. Complete the cover sheet, including the word count and the question answered.

2. Check your spelling and grammar using the inbuilt tool on your device.  You will not be penalised for grammatical and spelling errors but we recommend that you take the opportunity to correct them.

3. Check your file name (see above).

4. Check that you have used an accepted file type (see above).

5. Do not include your name in the file name or the document to support anonymous marking.

Uploading your document to Moodle

1. You will upload your document to the designated section of the Moodle course, which will be clearly signposted.

2. Try to upload your document at least 30 minutes before the deadline (page 1) in case you encounter any technical issues.  You will be able to resubmit the document as often as you like until the submission deadline.

3. Complete the Declaration of Originality (see below).

Declaration of Originality

When you upload your coursework on Moodle, you will be required to select a checkbox to confirm that you agree with the University’s Declaration of Originality which applies to all academic work, as follows.

I confirm that this assignment is my own work and I have:

· Read and understood the guidance on plagiarism provided on the Student Information Point Moodle course including the University of Glasgow Statement on Plagiarism.

· Clearly referenced, in both the text and the bibliography or references, all sources used in the work.

· Fully referenced (including page numbers) and used inverted commas for all text quoted from books, journals, web etc.

· Provided the sources for all tables, figures, data etc. that are not my own work.

· Not made use of the work of any other student(s) past or present without acknowledgement. This includes any of my own work, that has previously, or concurrently, been submitted for assessment, either at this or any other institution, including school.

· Not sought or used the services of any professional agencies to produce this work.

· In addition, I understand that any false claim in respect of this work will result in disciplinary action in accordance with University regulations.

Extensions and non-submission with good cause

Please refer to the Student Information Point Moodle for relevant information.

Late submission penalties

In the absence of good cause, late submission penalties will be applied as explained in Student Information Point Moodle.

Questions

If you have any questions about this coursework briefing, please read it carefully again to ensure you fully understand it.  If you still have questions, please post these on the Moodle Discussion Forum.

Personal questions only can be sent to [delete as necessary]:

[email protected]

[email protected]

[email protected]