When asset valuations are elevated across all major markets, traditional fundamental analysis becomes less predictive of short-term price movements. Investors should instead focus on macro drivers of liquidity, such as foreign exchange rates, cross-border flows, and interest rates.
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Programmed strategies from systematic funds, which delever when volatility (VIX) rises and relever when it falls, are the primary drivers of short-term market action. These automated flows, along with pension rebalancing, have more impact than traditional earnings or economic data, especially in low-liquidity holiday periods.
Over the past two decades, equity analysis has evolved beyond simply valuing a company's physical or financial assets. The modern approach focuses on identifying "alpha" factors—trading baskets of stocks grouped by shared characteristics like strong balance sheets or non-US revenue exposure.
The primary driver of market fluctuations is the dramatic shift in attitudes toward risk. In good times, investors become risk-tolerant and chase gains ('Risk is my friend'). In bad times, risk aversion dominates ('Get me out at any price'). This emotional pendulum causes security prices to fluctuate far more than their underlying intrinsic values.
Current market multiples appear rich compared to history, but this view may be shortsighted. The long-term earnings potential unleashed by AI, combined with a higher-quality market composition, could make today's valuations seem artificially high ahead of a major earnings inflection.
While markets fixate on Fed rate decisions, the primary driver of liquidity and high equity valuations is geopolitical risk influencing international trade and capital flows. This macro force is more significant than domestic monetary policy and explains market resilience despite higher rates.
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.
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.
Contrary to the common narrative, large equity inflows into the US from the AI theme are not reliably driving dollar strength. History shows Foreign Direct Investment (FDI) has a much stronger correlation with FX performance. Currently, timely FDI indicators are not showing a meaningful pickup, suggesting a key support for the dollar is missing.
The era of constant central bank intervention has rendered traditional value investing irrelevant. Market movements are now dictated by liquidity and stimulus flows, not by fundamental analysis of a company's intrinsic value. Investors must now track the 'liquidity impulse' to succeed.
