News Sentiment/Topic-based Financial Risk Factors with Graph Learning-based Risk Forecasting
A fully funded studentship awarded by the Economic and Social Research Council (ESRC) South Coast Doctoral Training Partnership (SCDTP) commencing in 2021/22 Academic Year.
This project aims to develop combined AI-based data models to enhance the accuracy of uncertainty quantification as risk factors (e.g. default) financial markets. The project will work closely with industry leading firms (e.g. 7 Investment Management Ltd, which funded £500k overall to the project team) and data providers and will have real-world case studies. The proposed approaches will provide industry partners with an innovative risk factor identification tool for the UK investment markets. The project aims to make tools and methodologies validated in operational environments and enhance industry’s ability to assess, manage, reduce, and mitigate their financial risks.
Supervisory Team:
Dr. Tiejun Ma (Centre for Risk Research) and Prof. Frank McGroarty (Centre for Digital Finance)
Skills Required
Critical thinking/data analytics skills/ machine learning models /programming skills/academic writing skills
Funding
South Coast DTP Funding provides an annual maintenance grant (tax free) of £15285 (2020/21 UKRI rate), plus payment of programme fees. Other funding available for SCDTP funded students can be found on the SCDTP website (www.southcoastdtp.ac.uk).
Funding is provided for 3 years full-time PhD study (pro-rata for part-time students). Applications for 1+3 funding for students completing a Master's year prior to the commencement of PhD study are also welcome (details available at www.southcoastdtp.ac.uk).
Application Procedure
The closing date and time for applications is 4.00pm on 18th January 2021. The full application procedure, the funding application form, and more information on the South Coast Doctoral Training Partnership can be found at: http://southcoastdtp.ac.uk/apply/
For further information about this project, please contact the lead supervisor detailed above. For questions relating to the application procedure, or for more information about the SCDTP, please visit the SCDTP website or contact us at scdtp@soton.ac.uk
Closing Date: 18 Jan 2021
Post Type: PhD Studentship (Funded)
