Module organiser: Dr Nicholas Vasilakos
A quantitative, mathematical module, primarily focused on issues relating to the analysis of time-series data, this module will give you a working knowledge of popular econometric techniques with forecasting applications. Particular emphasis will be given to procedures that enable analysts to arrive at reliable forecasts; together with performance tests that assess the quality of the methods applied, and compare alternative methodologies.
Aims and Objectives
On completion of the module, you will be able to:
Display a working knowledge of core forecasting-related topics on intermediate-level econometric theory
Apply and compare a number of forecasting techniques
Develop data handling skills, using specialised software
Show a solid understanding of how to interpret and report results
Read, understand and interpret computerised econometric output
Interpret a range of diagnostic tests.
You will develop the ability to apply popular forecasting techniques; obtaining estimates for the future performance of economic variables of interest, such as sales and demand. In the process, you will significantly improve your data handling skills, and knowledge of appropriate software.
Please note: This information is subject to review and change without notice.