Last modified: 28 Jun 2018 10:27
This course develops a mathematical and statistical ‘toolbox’ for the whole programme. These tools will be applied to finance-related topics and combine both the technique and the interpretation of the outcomes. The first part of the course covers basic mathematical models and the second develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in standard models and approaches, describing ways of overcoming them.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Session | First Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Off-site | Sustained Study | No |
| Co-ordinators |
Sorry, we don't have a record of any course coordinators. |
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This course develops a mathematical and statistical ‘toolbox’ for the whole programme. These tools will be applied to finance-related topics and combine both the technique and the interpretation of the outcomes. The first part of the course covers basic mathematical models and the second develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in standard models and approaches, describing ways of overcoming them.
Information on contact teaching time is available from the course guide.
There are no assessments for this course.
There are no assessments for this course.
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