Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
Hendrik Bessembinder

Hendrik Bessembinder

· Francis J. and Mary B. Labriola Chair in Competitive Business and ProfessorVerified

Arizona State University · Business Law

Active 1986–2026

h-index48
Citations13.2k
Papers18638 last 5y
Funding
See your match with Hendrik Bessembinder — sign in to PhdFit.Sign in

About

Hendrik Bessembinder is a professor and the Francis J. and Mary B. Labriola Endowed Chair in Competitive Business in the Department of Finance at Arizona State University. He returned to ASU in 2015 after holding academic positions at Emory University and the University of Utah, and previously taught at the University of Rochester. His research focuses on market design and trading, including stock, foreign exchange, fixed income, futures, and energy markets, as well as on measuring long-term investment performance. With over 30 years of consulting experience, he has provided strategic advice and analysis for major firms, financial markets, and government agencies. Bessembinder has published extensively in leading finance journals and is a frequent speaker at conferences and universities worldwide.

Research topics

  • Economics
  • Monetary economics
  • Mathematics
  • Finance
  • Computer Science
  • Financial economics
  • Financial system
  • Econometrics
  • Statistics
  • Physics
  • Biology
  • Business

Selected publications

  • One Hundred Years in the U.S. Stock Markets

    SSRN Electronic Journal · 2026-01-01

    preprintOpen access1st authorCorresponding
  • Replication Package for: Mutual Fund Flows at Long Horizons

    Harvard Dataverse · 2026-02-06

    datasetOpen access

    Replication Code and Pseudo Data for "Mutual Fund Flows at Long Horizons", by Hendrik Bessembinder, Shuaiyu Chen, Michael J. Cooper, Jinming Xue, and Feng Zhang

  • Long-run post-event returns in global stock markets

    Journal of International Business Studies · 2025-10-23

    article1st authorCorresponding
  • Levered Single-Stock ETFs *

    SSRN Electronic Journal · 2025-01-01

    articleOpen access1st authorCorresponding
  • Measuring Investor Outcomes 

    SSRN Electronic Journal · 2025-01-01

    preprintOpen access1st authorCorresponding
  • Measuring Investor Outcomes

    Financial Review · 2025-12-17

    articleOpen access1st authorCorresponding

    ABSTRACT Should measures of investment returns focus on representative or non‐representative investors? Should we consider only the magnitude of accumulated portfolio value relative to investment, or should we highlight the series of withdrawals to fund real activities that an investment can sustain? Should we ignore the importance of the time ordering of returns (distinct from the overall level), or should we consider “return sequence risk”? I argue herein that we should be thinking more about these issues, and in particular should be less focused on arithmetic means of short horizon returns, as employed in Sharpe ratios, alphas, and portfolio comparisons. I discuss some candidate methods, and highlight the need for expanded econometric tools to allow inference regarding alternative measures of returns.

  • Can we tame the factor zoo? The roles of alternative databases and extraction methods

    SSRN Electronic Journal · 2025-01-01

    articleOpen access1st authorCorresponding
  • The (Large) Effect of Return Horizon on Fund Alpha

    Critical Finance Review · 2025-01-01 · 3 citations

    article1st authorCorresponding
  • Which U.S. Stocks Generated the Highest Long-Term Returns?

    SSRN Electronic Journal · 2024-01-01 · 1 citations

    preprintOpen access1st authorCorresponding
  • Risk Hedging and Loan Covenants

    Management Science · 2024-02-05 · 8 citations

    article

    We study lending agreements and derivative positions of U.S. oil and gas producers, showing that loan covenants are important determinants of hedging policies. Hedging covenants appear in more than 85% of sample loan agreements, with explicit minimum hedging requirements in more than half. Covenants are more common when expected default costs are larger. The well-documented positive relation between borrowing and hedging is largely attributable in our sample to binding covenants, as the relation is much weaker in their absence. These results suggest that understanding firms’ hedging choices requires the consideration of lender interests along with those of owners and managers. This paper was accepted by Lukas Schmid, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.01616 .

Frequent coauthors

  • Michael S. Foster

    160 shared
  • Warren Bailey

    Fudan University

    133 shared
  • Jonathan M. Karpoff

    133 shared
  • Jarrad Harford

    125 shared
  • Paul Malatesta

    124 shared
  • Michael L. Lemmon

    BlackRock (United States)

    111 shared
  • Jennifer Conrad

    109 shared
  • Sergei Sarkissian

    McGill University

    108 shared

Education

  • Ph.D.

    University of Washington

    1986
  • Other

    Washington State University

    1978
  • B.S.

    Utah State University

    1977
  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Hendrik Bessembinder

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup