Quantitative Methods for Finance (Stream 1: Quantitative Intensive Focused) - MAN00134M
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Semester 1 2025-26 |
Module aims
The module covers a range of concepts in statistics and mathematics, aiming to provide students with necessary background knowledge for studying topics in finance at postgraduate level. There is a strong practical aspect involving analysing financial data and communicating the corresponding results and conclusions. This module will cover more detailed quantitative material, including further topics in econometrics and examine robustness issues.
Module learning outcomes
After successful completion of the module students will able to:
Subject content
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Apply mathematical and statistical methods to solve apposite problems in finance.
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Use probabilistic concepts to define and understand existing financial models;
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Use statistical knowledge to critically discuss statistical results and conduct your own statistical analyses of financial data;
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Use appropriate statistical tools to perform statistical analysis in finance.
Academic and graduate skills
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Present analyses of financial data in a logical, rigorous, and concise way;
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Conduct logical reasoning from assumptions to conclusion;
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Critically assess assumptions necessary to draw certain conclusions.
Module content
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An introduction to Mathematics for Finance analysis.
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Probability concepts: random variables, probability distributions and moments.
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Statistical concepts: summary statistics, point estimation, confidence intervals and hypothesis testing.
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Linear regression analysis.
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Other forms of regression analysis.
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 50 |
| Essay/coursework | 50 |
Special assessment rules
None
Additional assessment information
| Assignment One, will comprise an assessment shared with co-delivered module MAN00182M Assignment Two, will comprise a separate and unique assessment for this module. These assessments will consider common module learning outcomes to the module code MAN00182M yet draw on distinct module content. |
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 50 |
| Essay/coursework | 50 |
Module feedback
Feedback will be given in accordance with the University Policy on feedback in the Guide to Assessment as well as in line with the School policy.
Indicative reading
Wooldridge, J. (2014) Introductory Econometrics: A Modern Approach, Europe, Middle East and Africa edition, Cengage Learning.
Brooks, C. (2019) Introductory Econometrics for Finance, Cambridge University Press