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

56%: Lecture
15%: Practical (Workshop)
28%: Seminar

Assessment

25%: Coursework (Report)
75%: Examination (Take away paper)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 32 hours of contact time and about 118 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2022/23. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: