Dr Yawen Zheng

Biography	Yawen Zheng is currently an Assistant Professor of Finance at Durham University Business School, UK, where she brings a fresh perspective and innovative methodologies to the field of financial economics. Before joining Durham University, Yawen started her career as a graduate research and teaching assistant at the University of Liverpool Management School. Yawen's academic journey is marked by a strong foundation in finance and economics. She completed her PhD at the University of Liverpool, where she delved deeply into the area of forecasting stock market returns. Her doctoral research was particularly notable for its focus on cutting-edge methodologies, including the application of machine learning methods in finance. In her current role, Yawen is actively involved in research that spans a diverse array of subjects within financial economics. She is particularly interested in how machine learning methods can be utilised by financial agents, a topic that resonates with the evolving landscape of the finance industry.
Research Interests	Forecasting Network Analysis Financial Markets Big Data Analysis Financial Econometrics Machine Learning Methods in Finance

Biography

Yawen Zheng is currently an Assistant Professor of Finance at Durham University Business School, UK, where she brings a fresh perspective and innovative methodologies to the field of financial economics. Before joining Durham University, Yawen started her career as a graduate research and teaching assistant at the University of Liverpool Management School.

Yawen's academic journey is marked by a strong foundation in finance and economics. She completed her PhD at the University of Liverpool, where she delved deeply into the area of forecasting stock market returns. Her doctoral research was particularly notable for its focus on cutting-edge methodologies, including the application of machine learning methods in finance.

In her current role, Yawen is actively involved in research that spans a diverse array of subjects within financial economics. She is particularly interested in how machine learning methods can be utilised by financial agents, a topic that resonates with the evolving landscape of the finance industry.

Research Interests

Forecasting
Network Analysis
Financial Markets
Big Data Analysis
Financial Econometrics
Machine Learning Methods in Finance