Key Takeaways
- • Barclays Capital's equity strategist Tim Bond warns that hedge fund indices systematically exaggerate returns by between 1% and 6%, raising serious questions about the reliability of performance benchmarks in the alternative investment space.
- • Index construction biases present material risks to investors, potentially misleading allocators about true hedge fund performance and comparative returns relative to traditional asset classes.
- • The credibility of hedge fund databases themselves is under scrutiny, with Barclays' Equity Gilt Study highlighting structural flaws in how hedge fund returns are measured and reported.
Summary
Institutional investors and fund allocators face a fundamental credibility challenge in the hedge fund industry: the indices used to measure and compare performance cannot be reliably trusted. According to Barclays Capital strategist Tim Bond, hedge fund indices systematically overstate returns through inherent biases in their construction methodology. His Equity Gilt Study quantifies the distortion at between 1% and 6% of annual returns—a material range that could significantly affect strategic asset allocation decisions and manager selection processes.
The core issue extends beyond simple measurement error. Bond emphasizes that "there are risks of being misled by the biases inherent in the index construction," pointing to structural problems in how hedge fund databases are assembled and maintained. These biases likely stem from survivorship bias (exclusion of failed funds), backfill bias (selective inclusion of historical data), and selection bias (funds choosing which indices to report to), all of which artificially inflate the apparent performance of hedge fund strategies.
For institutional investors, this analysis carries immediate practical implications. If hedge fund indices systematically overstate returns by 1–6%, the true alpha generation of hedge fund strategies may be substantially lower than published benchmarks suggest. This creates a cascading effect on fund selection, performance attribution, and asset allocation decisions across the alternative investment industry. Investors relying on these indices without accounting for systematic biases risk mispricing hedge fund exposure and overpaying for manager talent.
The core issue extends beyond simple measurement error. Bond emphasizes that "there are risks of being misled by the biases inherent in the index construction," pointing to structural problems in how hedge fund databases are assembled and maintained. These biases likely stem from survivorship bias (exclusion of failed funds), backfill bias (selective inclusion of historical data), and selection bias (funds choosing which indices to report to), all of which artificially inflate the apparent performance of hedge fund strategies.
For institutional investors, this analysis carries immediate practical implications. If hedge fund indices systematically overstate returns by 1–6%, the true alpha generation of hedge fund strategies may be substantially lower than published benchmarks suggest. This creates a cascading effect on fund selection, performance attribution, and asset allocation decisions across the alternative investment industry. Investors relying on these indices without accounting for systematic biases risk mispricing hedge fund exposure and overpaying for manager talent.
Go deeper than the headline
Research every firm in this story, track the ones that matter and get the daily briefing — free for 7 days.