The University of Kent, Canterbury, Kent, CT2 7NZ, T +44 (0)1227 764000
Aims and Objectives
The aims of the Centre are:
- To further develop research expertise in quantitative finance area.
- To provide sound advice on policy and practical issues related to risk management and investment analyses to external bodies across the academic spectrum and the finance sector.
- To foster and achieve international collaboration with academics and practitioners at other institutions and finance houses.
Key Research Themes
Real-estate risk management
One of the main activities of the centre is establishing a wide-covering database containing relevant data that used to develop and validate models applicable for risk management purposes. The database will be the first of its kind in academic circles and it will include public information such as residential property indices (Halifax, Nationwide, RPX) but also non-public information such as indexes (IPD family, Eurex futures data, OTC forward and total return swaps data from the main dealers). It will also contain ancillary information that is useful in conjunction with property data, such as interest rate curves, inflation indices, macro data. Once this database is established, the second stage will focus on exploring a battery of models that may be applied by real-estate companies, investment houses and hedge-funds for risk management in property markets. Since the property market represents roughly 50% of the entire wealth in G7 countries and in light of the subprime crisis it is envisaged that research in real-estate risk management over the next couple of years will experience a fantastic growth.
Advanced computational techniques for calibration problem in finance
The Centre also focuses on calibration and model risk in financial markets. Model risk has been neglected by the banks and financial literature alike until very recently. Some are even suggesting that the next crisis looming in the horizon is about model risk. Banks are notoriously opaque regarding their trading platforms but the new regulatory regime insists on greater transparency for the benefit of investors and for greater stability of the financial regime. The Centre is developing, analysing comparatively and disseminating new modelling techniques that a) improve the calibration process given the data available and b) account for Knightian model uncertainty. The research covers both low frequency data and high frequency data.
The activity at this centre will also cover new asset classes in financial markets that may look esoteric now but may emerge as standard products in the immediate future.