Lifa Huang Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2026 Last refreshed 2026-05-02

unknown

2 h-index 7 pubs 8 cited

Biography and Research Information

OverviewAI-generated summary

Lifa Huang's research investigates bond mutual fund performance, focusing on selection and timing skills. Huang has published multiple studies examining these metrics, often utilizing the skill ratio and false discovery rate (FDR) to analyze performance. The research compares bond mutual funds with equity mutual funds, employing bootstrap simulations in some analyses.

Huang has collaborated with Craig G. Rennie on six shared publications and Wayne Y Lee on one. The researcher's work contributes to the understanding of financial market dynamics and investment strategies, particularly within the mutual fund industry. Huang's publication record includes recent work from 2024, 2025, and 2026, indicating ongoing activity in this research area.

Metrics

  • h-index: 2
  • Publications: 7
  • Citations: 8

Selected Publications

  • Bond vs. Equity Mutual Fund Performance Using False Discovery Rate (FDR) (2026)
  • Bond mutual fund performance: Evidence from the skill ratio and false discovery rate (2025)
    1 citation DOI OpenAlex
  • Selection and Timing Skill in Bond Mutual Fund Returns: Evidence from Bootstrap Simulations (2025)
    3 citations DOI OpenAlex
  • Selection and Timing Skill in Bond Mutual Fund Returns: Evidence from Bootstrap Simulations (2024)
    3 citations DOI OpenAlex
  • Bond Mutual Fund Performance: Evidence from the Skill Ratio and False Discovery Rate (2024)
    1 citation DOI OpenAlex

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Collaboration Network

3 Collaborators 1 Institution 1 Country

Top Collaborators

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