| 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 |
| Pre-requisites |
Mathematics for Economics Probability, Statistics and Econometrics |
| Co-requisites |
Quantitative Methods for Finance 1 |
| 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 to understand or question the way the data were collected or generated and how this impacts how they should be sampled, summarised and displayed. They will learn to critically assess the quality and reliability or at least the limitations of even official datasets.
Besides publicly available data, the unit will make extensive 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:
18 hours lectures
5 hours supervised work in Studio/Workshop
5 hours computer and Bloomberg data room
Formative assessment will be based on group projects and presentations as well as practice material to hand in, including small scale case studies of data visualisation preparing students for the summative coursework.
Summative assessment: individual project (3000 words). This assesses all learning outcomes.
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 Faculty 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. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
