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.
While still profitable, FX carry trades have become more cyclical and less of a diversifier. They now exhibit a high correlation (~0.5 beta) with the S&P 500 and offer significantly lower yields (7% vs. 11-12% previously), increasing their risk profile in a potential market downturn.
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.
The success of the current EM FX carry trade isn't driven by wide interest rate differentials, which are not historically high. Instead, the strategy is performing well because a resilient global growth environment is suppressing currency volatility, making it profitable to hold high-yielding currencies against low-yielders.
Despite a packed calendar of central bank decisions and key data releases, broad FX volatility is hovering near five-year lows. This suggests investors are underpricing potential market moves, and current options pricing for events like U.S. payrolls may be insufficient to cover a significant data surprise.
The underperformance of active managers in the last decade wasn't just due to the rise of indexing. The historic run of a few mega-cap tech stocks created a market-cap-weighted index that was statistically almost impossible to beat without owning those specific names, leading to lower active share and alpha dispersion.
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.
While broad emerging market currency indices appear to have stalled, this view is misleading. A deeper look reveals that the "carry theme"—investing in high-yielding currencies funded by low-yielding ones—has fully recovered and continues to perform very strongly, highlighting significant underlying dispersion and opportunity.
The most effective FX expression of the AI theme is through carry strategies, not by picking individual currencies. FX carry shows a high correlation with AI-beneficiary equity sectors like tech and energy. This allows a broad basket of high-yield currencies to outperform as a group, even those without direct AI exposure.
According to Keith McCullough, historical backtesting reveals the rate of change of the U.S. dollar index is the most critical macro factor for predicting performance across asset classes. Getting the dollar right provides a significant edge in forecasting moves in commodities, equities, and other global markets.
Shifting capital between asset classes based on relative value is powerful but operationally difficult. It demands a "coordination tax"—a significant organizational effort to ensure different teams price risk comparably and collaborate. This runs counter to the industry's typical siloed, product-focused structure.