Zarik Khimani
RESEARCH NOTES / PRIVATE MARKETS & MACHINE LEARNING

Can strategy text
predict fund returns?

A walkthrough of the private-equity study and a practical guide to testing its approach with XGBoost.

STUDY WALKTHROUGH + REPLICATION GUIDEBased on the December 15, 2023 paper
01

The study

Limited Partners versus Unlimited Machines: Artificial Intelligence and the Performance of Private Equity Funds.

395fund prospectuses in the final sample
72funds in the 2014–2016 test cohort
2,774words in the average strategy section

The central question

The authors ask whether a fund’s written investment strategy helps predict its later returns, beyond what investors can learn from its track record and basic characteristics.

They find that strategy text helps rank funds by their likelihood of beating a peer benchmark. To test that result with XGBoost, we need to reproduce how the authors assembled the documents, defined success, and separated training funds from test funds.