A Compelling Middle Ground: The Enhanced Equity Advantage
Key Takeaways
- Enhanced equity is designed to offer an attractive middle ground between passive allocations and traditional active strategies: modest but consistent benchmark-relative outperformance.
- Its performance benefits derive from tightly controlling active risk, which leads to purer, though more modest, expression of an active manager’s investment views and better diversification.
- The advantages of enhanced should appeal both to allocators who are stepping away from traditional active strategies due to risk, cost, or governance considerations, and to passive investors under pressure to beat their benchmarks.
Endnotes
- Although we take the perspective of a long-only asset owner in this note, allowing shorting in extension strategies is an idea that is currently attracting interest from asset owners as a method of generating meaningfully higher excess returns.
- See “Concentrated Portfolio Managers: Courageously Losing Your Money,” Acadian, March 2025 and “Concentrated Equity: Standing Out but Not Outstanding,” Acadian, October 2024.
- See the Appendix for specification of the dataset.
- The Enhanced categories are modest in size, containing 10 and 17 strategies in each period, respectively.
- The Magnificent 7 refers to Microsoft, Apple, Netflix, Alphabet, Meta, Amazon, and Nvidia. References to these and other companies should not be interpreted as recommendations to buy or sell specific securities. Acadian and/or the authors of this paper may hold positions in one or more securities associated with these companies.
- Generic value and momentum, and other style factors, feature prominently in risk models because portfolios that load on them tend to realize greater volatility.
- See, for example, the aptly titled “Asset Allocation and Bad Habits” by Ang et al. (2014) or “The Selection and Termination of Investment Managers by Plan Sponsors” by Goyal and Wahal (2008).
- For discussion of risks of mechanical index tracking and index rebalance effects, see Smart Beta: Constrained Quantitative Active Management, Acadian, January 2015 and Passive Bubbles?, Acadian, July 2017 (available on request). Academic research on the impact of predictable rebalancing on index returns includes: Petajisto (2011), which estimated material index performance drag associated with rebalances of the S&P 500 and Russell 2000 based on data through the mid-2000s; Li (2021), which found that ETFs that spread out execution around rebalancing dates improve performance versus trading at the close on the implementation date; Pavlova and Sikorskaya (2023), which argues that the extent to which stocks are owned by benchmark-tracking funds is associated with performance after additions/deletions. In a recent paper, Harvey et al. (2025) suggest that predictable trading by asset owners, not just around index reconstitutions, exposes them to price pressure effects similar to those described here.
- For additional discussion suggesting that allocators treat benchmark indexes as active constructs, see Reflections on the Ukraine Crisis: Watershed for EM Investing?, Acadian, July 2022.
- According to S&P, “constituent selection is at the discretion of the Index Committee and is based on the eligibility criteria.” See S&P Dow Jones Indices: S&P U.S. Indices Methodology, March 2025, p. 12 at https://www.spglobal.com/spdji/en/documents/methodologies/ methodology-sp-us-indices.pdf. As an example of discretion in how stocks are added, when Tesla was included in the S&P 500, the committee delayed its addition by two quarters relative to the date on which the stock satisfied inclusion criteria and considered adding the stock in two tranches.
- For discussion of the performance implications of country reclassifications as developed, emerging, and frontier, see Burnham et al. (2018). For discussion around the haircut applied to China A-shares’ weight in the MSCI Emerging Market Index, see Polarizing Views: China’s Impact on EM Investing, Acadian, December 2021.
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