Research Insights

Improving Low Volatility Strategies

The bottom line is that returns to the low volatility anomaly have only justified investing when low-volatility stocks were in the value regime, after periods of strong market performance, and when they excluded high-volatility stocks that have low short interest (providing clues as to how to improve its performance). This may be why live funds have been generating large negative alphas once we account for common factor exposures.

Markets Becoming More Efficient: The Disappearing Index Effect

Greenwood and Sammon’s findings of a disappearing index effect provides further support for the findings of McLean and Pontiff, Does Academic Research Destroy Stock Return Predictability? 2016. Once anomalies are well recognized by the market they decline and may even disappear, though limits to arbitrage can allow them to persist. Their findings also provide support for Andrew Lo’s The Adaptive Markets Hypothesis (2004). The bottom line is that markets are becoming more efficient, raising the hurdles for active managers to generate alpha.

Accessing Private Markets: What Does It Cost?

By quantifying how non-performance-based fees dominate the cost structure, this research questions whether current fee models effectively align with investor interests, which could influence future fee arrangements and industry standards.

The Hidden Cost of Index Replication

An index-tracking approach generally lacks flexibility, which detracts from performance, leaving returns on the table. Intelligent design can overcome such issues. For example, an S&P 500 Index could choose to rebalance one month ahead of the scheduled reconstitution, minimizing the impact of reconstitution. Direct index funds are already engaging in such strategies with ETFs.

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