Financial Mathematics and Stochastic analysis

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.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.