Statistics Methods in Finance & Economics
Module Title - Statistics Methods in Finance & Economics
Number of credits - 10
The course introduces basic economic and finance principles and emphasizes the techniques for fundamental empirical research, interpretation of quantitative results and model evaluations in finance and economics. It emphasizes the understanding of quantitative methods, model evaluations, and the techniques for empirical studies in finance, economics and business.
The module starts with an introduction to general economic concepts, and then it will cover the basics and extension of ordinary least square methods, heteroskedasticity, autocorrelation, multicollinearity, model specifications, to selective advanced topics from simultaneous equation models, binary and discrete choice models, qualitative and limited dependent variable models, time series analysis, panel data models, and nonparametric analysis.
Furthermore, students will gain hands-on experience formulating and estimating models, interpreting results, and making forecasts
By the end of the module you will be able to:
- understand the nature of statistical inferential procedures involved in analysing economic data;
- formulate models to solve some empirical economic problems;
- apply appropriate statistical methods and techniques to understand relationships
- among variables;
- gain hands-on experience in using statistical computing program of SAS;
- understand the power and limitations of applied statistical analysis;
- perform and present research by using relevant data and statistical tools.
Teaching and assessment: