Ge Yu

Swedish House of Finance/Stockholm School of Economics

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Sveavägen 65

113 50, Stockholm, Sweden

Welcome to my personal website!

I am a Ph.D. student in finance at the Swedish House of Finance, Stockholm School of Economics. My research interests include financial intermediation, machine learning and AI, empirical asset pricing, and FinTech.

My current works focus on mutual fund holdings and textual data, as well as the impact of artificial intelligence on financial markets.

Works in Progress

From Words to Portfolios
Disentangling Narrative and Reality in Mutual Fund Differentiation

Abstract

This paper studies the difference between genuine portfolio innovation and narrative differentiation in mutual funds. Developing a deep-learning model, I construct two novel measures of mutual fund differentiation based on portfolio holdings and on prospectus narratives. I document that prospectus uniqueness commands higher fees and attracts additional capital when accompanied by an outstanding performance history, while portfolio uniqueness predicts future risk-adjusted performance among skilled managers. The results differ between retail and institutional investors: the flow response to prospectus uniqueness comes primarily from retail investors, while its fee premium is borne mainly by institutional investors. Together, these findings indicate that narrative differentiation in fund disclosures operates primarily as a marketing and pricing tool, whereas real product differentiation through genuinely distinctive portfolios is what generates alpha.

Heterogeneous Investor Beliefs in the Age of AI

Education

2021- SSE Ph.D. in Finance, Stockholm School of Economics
2019-2021 Cornell M.S. in Applied Economics and Management, Cornell University
2015-2019 CUFE B.A. in Public Finance, Central University of Finance and Economics