Xiaomeng Wang

Biography:

Xiaomeng Wang is a PhD candidate in Banking and Finance at University College Dublin, Michael Smurfit Graduate Business School. Her research lies at the intersection of narrative economics, market volatility, and mutual funds, with a particular focus on how media narratives shape investors’ beliefs and drive market dynamics. Her work employs natural language processing (NLP) techniques to develop text-based measures of narratives from financial news and demonstrates their superior predictive power for volatility and mutual fund flows, as well as their implications for real-time investment strategies. Xiaomeng has presented her research at leading international conferences, including the Financial Management Association (FMA) European Conference 2025, the International Association for Applied Econometrics (IAAE) Annual Conference 2025, the European Financial Management Association (EFMA) Annual Conference 2025, and the Irish Academy of Finance (IAF) PhD Conference 2024. At UCD Smurfit, she has served as a Guest Lecturer for Capital Markets and Instruments, and as a Teaching Assistant for Derivative Securities, Financial Theory, and Financial Data Science. Her research seeks to bridge academic rigor and practical relevance, contributing to a deeper understanding of market behavior and to the design of data-driven approaches to investment.