This module introduces students to quantitative methods that can be used to empirically analyse some of the theories introduced during other finance modules on their programmes, including asset pricing, portfolio analysis and corporate finance. With extensive use of appropriate quantitative software (EViews) students will be able to use real data to analyse financial models. An important component of the module involves using classical statistical concepts to test hypotheses relating to financial models.
Module Aims
• To familiarise students with techniques for handling financial data
• To build a bridge between financial theories and practice
• To introduce students to regression analysis with financial applications
Learning Outcomes
On successful completion of the module, students will be able to:
• Understand the principles of regression analysis and hypothesis testing
• Appropriately apply and interpret regression models
• Conduct appropriate hypothesis tests of financial models
• Examine and manipulate data using EViews
• Estimate financial models using EViews
Skills for Your Professional Life (Transferable Skills)
The module is geared towards building up or enhancing the following transferable skills:
• Fluency in data download, manipulation and statistical analysis
• Ability to run basic statistical models and interpret and present findings
• Obtain knowledge of additional issues in regression analysis that will allow you to appropriately apply these methods in a wider range of situations
