Unit name | Financial Data |
---|---|
Unit code | EFIM20040 |
Credit points | 20 |
Level of study | I/5 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Li |
Open unit status | Not open |
Units you must take before you take this one (pre-requisite units) |
Mathematics for Economics Probability, Statistics and Econometrics |
Units you must take alongside this one (co-requisite units) |
Quantitative Methods for Finance 1 |
Units you may not take alongside this one |
N/A |
School/department | School of Accounting and Finance - Business School |
Faculty | Faculty of Social Sciences and Law |
All aspects of decision-making in private sector Finance are based or at least supported by data analysis. Some of them are completely automated, for example computer-based trading. Whether for research or professional purposes, financial data feature an extreme diversity of sources and frequencies. Data may originate from very different sources, some of them official, free, subjected to repeated check, to others, obtained at high cost, entirely proprietary:
Their frequencies can range from annual to microsecond.
The unit will introduce students to very different data sources, how to visualise and present them in an ethical and informative way, how sampling may be required and how to implement it. Students will learn the basics of data handling and to understand or question the way the data were collected and processed, and how this impacts how they should be sampled, summarised and displayed. The students will gain hands-on experience in using advanced data analysis tools (such as R) for manipulation and visualisation of data.
Besides publicly available data, the unit will make use of our existing data and specialist newspaper resources:
The unit will be an opportunity for students to obtain Thomson Reuters and Bloomberg certification.
Students will be able to:
Teaching will be delivered through a combination of synchronous and asynchronous sessions including lectures, tutorials, drop-in sessions, discussion boards and other online learning opportunities.
Formative Assessment:
Students will be asked to prepare material in groups, some of which will be reviewed with feedback provided.
Summative assessment:
Individual coursework project, 3000 words maximum (100%).
This assesses all learning outcomes.
Any re-assessment required will be a like for like assessment
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EFIM20040).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the University Workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.