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The S&P 500's historical earnings growth is ~6.7%. The ~9% growth of the last decade was an exception, driven by the unprecedented hyper-growth of a few mega-cap tech firms. As the law of large numbers catches up to these giants, investors should anticipate future index returns to revert to historical, lower norms.
Goldman Sachs forecasts low long-term S&P 500 returns (3-6.5% annually). The key reason is that today's high market concentration implies higher future volatility, yet investors aren't being compensated for this risk because current valuations are already historically high and likely to contract.
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.
The S&P 500's heavy concentration in a few tech giants is not unprecedented. Historically, stock market returns have always clustered around the dominant technology transformation of the time. Before 1980, leaders were spinoffs of Standard Oil, car companies like GM, and General Electric, reflecting the industrial and automotive revolutions.
The perception of a market rally driven solely by a few tech stocks is misleading. The S&P 500 excluding the top 10 companies has seen strong earnings growth and consistent ~15% annual returns for the past three years, indicating broad market health.
Big Tech's sustained outperformance presents a portfolio anomaly. These companies are simultaneously the largest market components and among the fastest-growing, a rare combination that breaks historical patterns where size implies maturity and slower growth, forcing managers to adapt.
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.
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.
Market-cap weighting turned the S&P 500 into a momentum fund for megacaps, leading to a decade of outperformance versus its equal-weight counterpart—a historical anomaly. Recent signs of equal-weight taking the lead suggest a potential market regime shift back towards value and smaller companies.
While indexing made competition tougher, the true headwind for active managers was the unprecedented, concentrated performance of a few tech giants. Not owning them was statistically devastating, while owning them reduced active share, creating a no-win scenario for many funds.
The high valuations of mega-cap tech stocks are predicated on the idea that their growth is unique. However, data shows numerous companies, both in the U.S. and internationally, are growing at similar or even faster rates. This competition for growth should logically put downward pressure on the Mag-7's multiples, a key tenet of a bubble.