Dr Alexia Ventouri
Reader (Associate Professor) in Banking and Finance
- Director, Banking & Finance MSc
Research interests
- Banking & Finance
Biography
Dr Alexia Ventouri is an Associate Professor (Reader) in Banking and Finance and a member of The Data Analytics for Finance and Macro (DAFM) and the Qatar Centre for Global Banking and Finance Research Centres at King’s Business School. She joined King’s in October 2015. She obtained her MSc and PhD degrees in Finance from the University of Essex, and holds a BSc in Economic Science from the University of Piraeus. Prior to joining King’s she worked at the Brunel University, the Sussex University, the IFS School of Finance, and the Hellenic American University. She has also previous industry experience in the banking sector, specialising in industry risk and stress test analysis.
Alexia’s main research focus is empirical finance, although several of her research projects are cross-disciplinary and include aspects of risk, performance, structured finance, corporate governance and regulations in the banking and insurance industries. Her publications appear in internationally recognised journals such as British Journal of Management, Journal of Business Research, Journal of Banking and Finance, Journal of Empirical Finance, Journal of Business, Finance and Accounting, Journal of Financial Stability.
Are you currently accepting new PhD students?
No
Research
Data Analytics for Finance and Macro
Forecasting trends is more important now than it has ever been. Our quantitative financial and macroeconomic research helps central banks and statistical agencies better understand their markets.
News
Understanding consumer behaviour during Covid-19 lockdowns
Case rate at a local level is an important influence
Research
Data Analytics for Finance and Macro
Forecasting trends is more important now than it has ever been. Our quantitative financial and macroeconomic research helps central banks and statistical agencies better understand their markets.
News
Understanding consumer behaviour during Covid-19 lockdowns
Case rate at a local level is an important influence