Applied Statistics for Finance and Economics

Module code: L1064
Level 5
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.