Jingyu Li

Papers

Total Citations

H-Index

About

Jingyu Li is an emerging scholar in financial technology and investment analytics, with a focused research interest in the intersection of robo-advisory systems and exchange-traded fund (ETF) markets. Their most-cited work, "The robo-advisor for ETF funds in China: influences and determinants" (2023, 5 citations), offers a pioneering empirical investigation into how automated advisory platforms affect the performance of Chinese ETF funds. By analyzing both the direct impact of robo-advisors on fund returns and the relative importance of various ETF characteristics, Li provides critical insights for investors and fund managers navigating the rapidly evolving landscape of algorithmic wealth management. This study stands out for its timely focus on the Chinese market, a key arena for fintech innovation, and its practical implications for optimizing portfolio construction. Li’s contributions are particularly valuable for students and researchers seeking to understand the real-world determinants of robo-advisor effectiveness, bridging a gap between theoretical promise and empirical evidence in a high-growth sector.