Many macro funds, especially quantitative ones, are facing headwinds because their models are optimized for trending markets. The current choppy, volatile environment lacks the long, clean trends seen in previous years, leading to performance dispersion across the industry.

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Active managers are struggling against the S&P 500 not just from bad picks, but because the market is dominated by a few AI stocks they can't fully concentrate in. Many also became too defensive during April's volatility, causing them to miss the subsequent sharp market rebound.

Contrary to popular belief, the market may be getting less efficient. The dominance of indexing, quant funds, and multi-manager pods—all with short time horizons—creates dislocations. This leaves opportunities for long-term investors to buy valuable assets that are neglected because their path to value creation is uncertain.

An estimated 80-90% of institutional trading is driven by quant funds and multi-manager platforms with one-to-three-month incentive cycles. This structure forces a short-term view, creating massive earnings volatility. This presents a structural advantage for long-term investors who can underwrite through the noise and exploit the resulting mispricings caused by career-risk-averse managers.

Single-factor models (e.g., using only CPI data) are fragile because their inputs can break or become unreliable, as seen during government shutdowns. A robust systematic model must blend multiple data sources and have its internal components compete against each other to generate a reliable signal.

Contrary to classic theory, markets may be growing less efficient. This is driven not only by passive indexing but also by a structural shift in active management towards short-term, quantitative strategies that prioritize immediate price movements over long-term fundamental value.

Long-term economic predictions are largely useless for trading because market dynamics are short-term. The real value lies in daily or weekly portfolio adjustments and risk management, which are uncorrelated with year-long forecasts.

Quantitative models relying on momentum in equities, commodities, and rates are underperforming because the performance gap (dispersion) between assets has collapsed. This creates a low-conviction environment unfavorable for relative value trades and non-carry macro trends in the FX market.

AQR's Cliff Asnes highlights that a prolonged period of underperformance is psychologically and professionally more damaging than a sharper, shorter drop. Enduring a multi-year drawdown erodes client confidence and forces painful business decisions, even if the manager's conviction in their strategy remains high.

The current market regime lacks strong directional conviction. Growth impulses are too weak for a "risk-on" bull run but not weak enough for a "risk-off" recessionary scare. This middle ground, or "slowdown," leads to choppy price action and performance dispersion among assets.

Contrary to expectations, drawdowns in managed futures frequently occur when equity markets are performing well. The strategy's recovery periods, however, often coincide with equity market turbulence, highlighting its counter-cyclical nature and making it behaviorally difficult to hold.