Applied Statistics for Finance and Economics
Module code: L1064
15 credits in spring semester
Teaching method: Workshop, Seminar, Lecture
Assessment modes: Unseen examination, Coursework
This module will introduce you to the empirical use of a variety of statistical methods used in the social sciences. A key objective of the module is to teach best statistical practice through the use, exploration and analysis of empirical data. Topics covered include: measuring skewness and kurtosis in empirical data and undertaking tests for normality, goodness-of-fit and non-parametric testing principles; ANOVA and experimental design; OLS and maximum likelihood estimation in the bivariate regression model; the linear probability and the logistic models; detrending, deseasonalising and forecasting using time series data; basic concepts in sample survey methods.
Module learning outcomes
- Have demonstrated a detailed knowledge of quantitative techniques appropriate to the study of economics or finance (as appropriate)
- Have demonstrated an ability to carry out empirical work using appropriate techniques and understand the lmitations of one's work.
- Have demonstrated the ability to carry out self-directed study and research and understand the limitiations of such study.
- Have demonstrated competence in the use of an appropriate range of computer software.