Applied Statistics for Finance and Economics (L1064)

15 credits, Level 5

Spring teaching

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.

Teaching

59%: Lecture
14%: Practical (Workshop)
27%: Seminar

Assessment

25%: Coursework (Report)
75%: Examination (Unseen examination)

Contact hours and workload

This module is 150 hours of work. This breaks down into 22 hours of contact time and 128 hours of independent study.

This module is running in the academic year 2019/20. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.