NBS8002 : Techniques for Data Analysis
- Offered for Year: 2019/20
- Module Leader(s): Dr Bo Che
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
|Semester 1 Credit Value:||10|
|Semester 2 Credit Value:||10|
• To introduce a broad range of underlying concepts and methodologies that are used in the data analytics process.
• To enable students to employ various analytical techniques that support effective decision-making in today’s increasingly competitive market. Students will also be equipped to appraise a wide range of applications and techniques for collecting, visualising, organising and analysing financial data that are designed to help financial analysts and other information users to improve their decision-making.
• To enable students to transform, analyse and interpret data, delivering solutions for theevaluation of investment opportunities in the financial sector.
Outline Of Syllabus
1. Descriptive statistics, visualising, organising and presenting data using appropriate tables, diagrams and numerical measures.
2. Basic probability theory and its applications, manipulations of proabilities applying various rules.
3. Referential statistics, sampling, estimation, hypothesis testing.
4. Regression, econometric modelling, autocorrelation, heteroscedasticity, multicollinearity.
5. Event study, literature review, methodology review, research design.
6. Challenges faced by modern financial data analysis in the context of emerging ‘big data’ society.
NB: The programme assumes no prior experience of statistics.
|Scheduled Learning And Teaching Activities||Lecture||15||2:00||30:00||N/A|
|Guided Independent Study||Assessment preparation and completion||1||50:00||50:00||N/A|
|Guided Independent Study||Directed research and reading||1||50:00||50:00||N/A|
|Scheduled Learning And Teaching Activities||Small group teaching||5||2:00||10:00||4 seminars and 1 cluster session|
|Guided Independent Study||Independent study||1||60:00||60:00||N/A|
Teaching Rationale And Relationship
Teaching is a combination of lectures and hands-on workshops held in the computer room. Work in the computer room will develop techniques to enable manipulation, co-ordination and presentation of relevant financial data. Skills relating to computer software are developed interactively on the computer network.
The format of resits will be determined by the Board of Examiners
|Report||2||A||100||4000 words - using statistical analysis of real data, examine impact of firm-specific information on a company’s stock returns.|
Assessment Rationale And Relationship
There is one project, involving statistical analysis of financial data, including the presentation of data, development of a regression model for an event study, time series analysis and forecasting.
The objective of the report is to examine, using statistical analysis of real data, the impact of firm-specific information on a company’s stock returns. To complete the assignment, students are expected to undertake three types of activities: 1) Selecting a public company for analysis, collecting relevant data, and reviewing literature; 2) Performing appropriate analysis of the impact of multiple information events on the stock returns of a public company; 3) Writing up a report describing your research design and interpreting your research results.