Module code: MN7024
Module co-ordinator: Dr Alexandra Dias
This module explores the use of quantitative techniques to analyse financial information and to assist decision-making through the use of descriptive statistics, probability and probability distributions; statistical inference; regression analysis and time series analysis.
After completing this module students will be able to:
- Define and compute descriptive statistics and make graphs of financial data.
- Summarise financial information in a format useful for decision making.
- Recognise the most common families of probabilistic distributions used in financial modelling and estimate its parameters from financial data.
- Describe and fit models as multiple linear regression, using R or a comparable statistical programme.
- Perform inference and related tests of hypothesis on the basis of empirical financial data.
- Construct, modify, and compare quantitative models. Select the best model to answer the question of interest taking into account the empirical data available.
- Give financial interpretation to results obtained from modelling and recognise its limitations.
- Evaluate quantitative analysis undertaken by others.
- 20 hours of lectures
- 10 hours of seminars
- 120 hours of guided independent study
- Coursework (30%)
- Exam, 2 hours (70%)