84% of S&P 500 Stocks Trade Below Record Highs Despite Index Peak
As of October 13, 84% of the 503 components in the S&P 500 are trading at least 10% below their all-time highs, even as the benchmark index hovers within 0.2% of its record closing level set on October 5. This stark divergence…
As of October 13, 84% of the 503 components in the S&P 500 are trading at least 10% below their all-time highs, even as the benchmark index hovers within 0.2% of its record closing level set on October 5. This stark divergence highlights a market where a small number of companies are driving broader index gains while the majority of constituents remain in correction territory.
The S&P 500 reached an all-time closing high of roughly 7,819 on October 5, powered by AI infrastructure spending and strong corporate earnings. However, the breadth of the rally has narrowed significantly. More than 90% of stocks in consumer staples, consumer discretionary, utilities, materials, and real estate sectors are down at least 10% from their peaks. Real estate leads the drawdown with 97% of its stocks in this category, followed by materials at 96%, utilities at 94%, and consumer discretionary at 92%. Energy has held up comparatively better, with 62% of its stocks down at least 10%, while healthcare and information technology follow at 70% and 72%, respectively.
Deeper losses are also widespread. Fifty-nine percent of S&P 500 stocks are down at least 20% from their highs, 41% are down more than 30%, and 17% are down more than 50%. The concentration of gains is further illustrated by the historic divergence between the Invesco S&P 500 Equal Weight ETF (RSP) and the market-cap-weighted S&P 500. Because the equal-weight fund assigns similar weight to all components regardless of valuation, its performance gap with the benchmark index underscores that only a select few large-cap AI-driven businesses are currently lifting the major indexes.
Bank of America Global Investment Strategy has charted similar concentration dynamics in previous investment trends over the last 190 years. The firm noted that while specific hot trends can lead to high concentration levels within major indexes, these bubbles have historically burst. For example, following the dot-com bubble burst in March 2000, the S&P 500 plunged 49% and the Nasdaq fell 78%. The bank's analysis suggests that current AI stock concentration is comparable to previous peak periods, though it does not predict when such trends will reverse.
While index concentration data cannot pinpoint exactly when market momentum will falter, historical precedent indicates that such dynamics often foreshadow significant downturns. With the stock market propped up by progressively fewer companies, a setback for one or more of these key businesses could impact the broader AI-driven bull market. The current environment reflects a multitrillion-dollar global opportunity in artificial intelligence that has lifted the Dow Jones Industrial Average, S&P 500, and Nasdaq Composite to all-time highs, yet the underlying breadth remains fragile.
Source · 來源