Financial markets
Members of the financial markets group produce research of the highest international standard.
Group members' research covers a broad range of topics including asset allocation, applied financial econometrics, asset market performance, behavioural explanations of market anomalies, prediction of credit rating changes, prediction markets, market microstructure, trading system design, and volatility forecasting.
Group members have published their work in leading finance journals such as Journal of Finance, Journal of Financial Economics, Journal of Financial and Quantitative Analysis, Journal of Banking and Finance, Review of Finance, Journal of Money, Credit and Banking and many other highly-regarded academic journals.
Contact us
Organisations or individuals interested in working with the Financial Markets research group, please contact:
Dr Manuela Pedio
Impactful research in financial markets
Members of the group undertake research that have been shown to have impact in financial markets:
- Retirement income research informs UK and European policy debates
- Identifying the portfolio balance channel as a key mechanism for the effectiveness of quantitative easing
- University of Bristol research for the Bank of England mitigates systemic financial risk and improves usability of Financial Stability Report
- Improving the Stability of the UK Financial System Through Improvements to the Bank of England’s Stress Testing Procedures
- Improving Decision-Making for Retail Investors Through Risk-Profiling
Members
- Dr Anne-Florence Allard
- Dr Bo Sang
- Dr Enoch Quaye
- Professor Chris Brooks
- Professor Evarist Stoja
- Dr Fangming Xu
- Dr Karen Khachatryan
- Dr Liyi Zheng
- Dr Manuela Pedio
- Dr Martin Diedrich
- Dr Miklos Farkas
- Muhammed Yonac
- Professor Nick Taylor
- Professor Paula Hill
- Dr Ran Tao
- Professor Richard Harris
- Dr Tobias Dieler
- Dr Sylvain Friederich
- Dr Tuan Ho
- Dr Zeming Li
- Professor Ian Tonks
- Dr Liyi Zheng
- Dr Tobias Dieler
- Dr Richard Zeng
- Dr Xinyu Cui
- Dr Yingtong Dai