Lifa Huang Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
unknown
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Biography and Research Information
OverviewAI-generated summary
Lifa Huang's research centers on the performance and skill assessment within bond mutual funds. Huang has published work investigating the skill ratio and false discovery rate (FDR) as metrics to evaluate the performance of bond mutual funds, comparing them against equity mutual funds. Recent publications include analyses from 2024, 2025, and a projected 2026 publication. Huang collaborates with Craig G. Rennie, with whom they have co-authored six publications, and Wayne Y Lee, with whom they have one shared publication. Huang's scholarly output includes 7 total publications and an h-index of 2, with a total of 8 citations.
Metrics
- h-index: 2
- Publications: 7
- Citations: 8
Selected Publications
- Bond vs. Equity Mutual Fund Performance Using False Discovery Rate (FDR) (2026) DOI
- Bond mutual fund performance: Evidence from the skill ratio and false discovery rate (2025) DOI
- Selection and Timing Skill in Bond Mutual Fund Returns: Evidence from Bootstrap Simulations (2025) DOI
- Selection and Timing Skill in Bond Mutual Fund Returns: Evidence from Bootstrap Simulations (2024) DOI
- Bond Mutual Fund Performance: Evidence from the Skill Ratio and False Discovery Rate (2024) DOI
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