Focus
Quantitative Finance
Stochastic Processes
Financial Mathematics
Risk Management
Financial Markets
Group leader
Prof. Erik Schlogl
Research members
A/Prof. Juri Hinz
Dr Nadima El-Hassan
Dr Stephen Woodcock
Dr Shev MacNamara
Stochastic analysis is the mathematical theory that allows one to model dynamic random phenomena. Such phenomena arise almost everywhere in the real world.
Particularly important instances are the behavior of financial markets and the study of risk in a wider sense. To be able to obtain quantitative results one needs stochastic numerical methods and also sophisticated statistical techniques. Additionally, many tasks involve some stochastic optimisation, or the solution of partial differential equations. The group focuses on developing the theoretical and practical tools needed to allow us to model and quantitatively handle challenging applied problems across a broad range of fields, with a special focus on quantitative methods in finance, statistics and physics.