Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Lifa Huang

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

Researcher

Unknown Researcher

3 h-index 7 pubs 10 cited

Biography and Research Information

OverviewAI-generated summary

Lifa Huang's research focuses on the performance and skill assessment of bond mutual funds. Her work investigates methodologies such as the skill ratio and false discovery rate (FDR) to evaluate fund manager capabilities. Huang has published on the selection and timing skills evident in bond mutual fund returns, utilizing bootstrap simulations for analysis. Her research also compares the performance of bond versus equity mutual funds using the FDR approach.

Huang collaborates with Craig G. Rennie and Wayne Y Lee, both affiliated with the University of Arkansas at Fayetteville, with whom she has co-authored multiple publications. Her scholarly output includes a h-index of 3 and a total of 7 publications.

Metrics

  • h-index: 3
  • Publications: 7
  • Citations: 10

Selected Publications

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

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Collaboration Network

3 Collaborators 1 Institution 1 Country

Top Collaborators

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