Historically, US earnings outgrew the world by 1%. Post-GFC, this widened to 3%. Investors have extrapolated this recent, higher rate as the new normal, pushing the US CAPE ratio to nearly double that of non-US markets. This represents a historically extreme valuation based on a potentially temporary growth advantage.

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Contrary to popular belief, earnings growth has a very low correlation with decadal stock returns. The primary driver is the change in the valuation multiple (e.g., P/E ratio expansion or contraction). The correlation between 10-year real returns and 10-year valuation changes is a staggering 0.9, while it is tiny for earnings growth.

Traditional valuation models assume growth decays over time. However, when a company at scale, like Databricks, begins to reaccelerate, it defies these models. This rare phenomenon signals an expanding market or competitive advantage, justifying massive valuation premiums that seem disconnected from public comps.

With the S&P 500's Price-to-Earnings ratio near 28 (almost double the historic average) and the Shiller P/E near 40, the stock market is priced for perfection. These high valuation levels have historically only been seen right before major market corrections, suggesting a very thin safety net for investors.

While institutional capital market assumptions align with objective, yield-based models, their actual portfolio actions can deviate. Many institutions, despite models suggesting caution on expensive US stocks, maintained market weight, benefiting from the prolonged bull market. This highlights a critical inconsistency between their stated process and real-world behavior.

The US economy is not broadly strong; its perceived strength is almost entirely driven by a massive, concentrated bet on AI. This singular focus props up markets and growth metrics, but it conceals widespread weakness in other sectors, creating a high-stakes, fragile economic situation.

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.

Emerging vs. developed market outperformance typically runs in 7-10 year cycles. The current 14-year cycle of EM underperformance is historically long, suggesting markets are approaching a key inflection point driven by a weakening dollar, cheaper currencies, and accelerating earnings growth off a low base.

Despite record market highs, the S&P 500's underlying earnings per share (EPS) have not yet recovered to their peak from early 2022. This "narrative violation" points to a hidden earnings recession for large-cap stocks, a fact that has been masked by market enthusiasm and multiple expansion.

Financial models struggle to project sustained high growth rates (>30% YoY). Analysts naturally revert to the mean, causing them to undervalue companies that defy this and maintain high growth for years, creating an opportunity for investors who spot this persistence.

Morgan Stanley's 2026 outlook suggests a strong US market will create a "slipstream" effect, lifting European equities. This uplift will come from valuation multiple expansion, not strong local earnings, as investors anticipate Europe will eventually benefit from the broadening US economic recovery.