Six Low-Beta Stocks Offer S&P 500 Defensive Hedge
Fazen Markets Editorial Desk
Collective editorial team · methodology
Fazen Markets Editorial Desk
Collective editorial team · methodology
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Benzinga reported on August 28, 2026, on a selection of defensive S&P 500 stocks exhibiting low correlation to the broader market. The analysis identified six large-cap equities with a beta coefficient of 0.50 or lower relative to the SPDR S&P 500 ETF Trust (SPY). These stocks, spanning consumer staples and healthcare, are highlighted for their potential to reduce portfolio volatility and provide counter-cyclical performance based on fundamental quality metrics and historical low market correlation.
The strategy of targeting stocks with low beta gained prominence following the 2022 bear market, where the S&P 500 fell over 16%. During that period, several of the highlighted defensive stocks, including Procter & Gamble, Merck, Bristol-Myers Squibb, and General Mills, returned positive performance according to the source material. This demonstrated their potential role as a hedge during broad market stress driven by inflation and Federal Reserve rate hikes. The current macroeconomic backdrop continues to emphasize risk management, with investors seeking portfolio stabilizers beyond traditional fixed income. The catalyst for evaluating these specific stocks is their combination of low statistical correlation to the S&P 500 and sound fundamental characteristics like positive returns on equity and assets.
The last significant market stress test was the 2020 COVID-19 crash, where the source notes most of these low-beta stocks declined less than the broader market, though still more than Treasury bonds. This historical performance during drawdowns underpins the enduring investment thesis for defensive, low-correlation equities. The strategy is rooted in Modern Portfolio Theory, which posits that combining uncorrelated assets can enhance risk-adjusted returns. For retail and institutional portfolios heavily weighted toward passive S&P 500 index funds, introducing low-beta stocks can alter a portfolio's overall risk profile. The search for such equities focuses on sectors with evergreen demand, which historically include consumer staples and healthcare.
The primary screening metric is beta, a measure of a stock's volatility relative to the market. The S&P 500, represented by SPY, has a defined beta of 1.0. The analysis identified stocks with a beta at or below 0.50. General Mills has the lowest cited beta at 0.32, meaning it has historically been roughly one-third as volatile as the market. Procter & Gamble is noted with a beta of 0.48. The other four stocks—Merck, Bristol-Myers Squibb, American Tower, and McDonald's—are included with the qualifying characteristic of a beta of 0.50 or under, though specific values are not provided in the source for all.
Fundamental data points for the six companies show significant scale and income characteristics. Procter & Gamble holds a market capitalization of $333.84 billion. Merck's market cap is $369.01 billion. Bristol-Myers Squibb is valued at $137.07 billion, American Tower at $81.15 billion, General Mills at $21.61 billion, and McDonald's at $187.22 billion. Dividend yields vary, with American Tower offering a yield of 4.01% based on a $6.98 annual dividend and General Mills yielding 6.03% from a $2.44 annual payout. Bristol-Myers Squibb yields 3.76%, Procter & Gamble 3.04%, Merck 2.27%, and McDonald's 2.86%.
Performance data is snapshot-specific. On the cited date, Procter & Gamble traded at $143.62, up 0.34%. Bristol-Myers Squibb traded at $67.10, up 0.22%. General Mills traded at $40.42, down 0.05%. Merck, American Tower, and McDonald's showed 0% price change at $149.57, $174.16, and $262.04 respectively. A long-term performance comparison is provided only for General Mills, which has outperformed SPY since 1993 with a compound annual growth rate of 9.81% versus 9.72% for SPY, with dividends reinvested.
The inclusion of low-beta, defensive stocks shifts sector exposure within an equity portfolio. This strategy inherently overweight sectors like Consumer Staples (PG, GIS) and Healthcare (MRK, BMY). Real Estate, represented by the REIT American Tower (AMT), and Consumer Discretionary, via McDonald's (MCD), also feature. These sectors typically have lower capital expenditure cycles and more predictable cash flows, which contribute to their lower volatility. The direct effect for an investor is a reduction in overall portfolio beta, which can dampen drawdowns during market corrections. This is a tactical allocation often favored by risk-averse investors or those with a shorter time horizon.
A key second-order effect is on portfolio income. These mature companies generally offer dividend yields that exceed the average yield of the SPY ETF. Reinvesting these dividends compounds total returns over time, and in the U.S., qualified dividends are taxed at a more favorable rate than ordinary income, adding a tax-efficiency benefit. The strategy's main limitation is opportunity cost during strong bull markets. Defensive sectors like staples and healthcare historically lag during low-interest-rate, high-growth market phases, as capital flows toward more cyclical and high-beta sectors. An investor prioritizing downside protection must accept the potential for underperformance during extended rallies.
Positioning flow for such strategies often comes from multi-asset and balanced fund managers, as well as individuals implementing core-satellite approaches. The core holding might be a broad index fund, with a satellite allocation to low-correlation stocks for risk management. The psychological ease cited in the source is a real factor; holding assets that remain stable or positive during a bear market can prevent panic selling. This behavioral finance aspect supports staying invested, as selling during a drawdown locks in losses and requires disproportionately large subsequent gains to recover.
The performance of low-correlation defensive stocks is tightly linked to the macroeconomic cycle and market volatility. Key catalysts to watch include Federal Reserve policy meetings, which influence interest rate expectations and market risk appetite. Inflation data releases, such as the monthly Consumer Price Index reports, will test the defensive characteristics of these stocks during periods of economic uncertainty. Quarterly earnings reports from the highlighted companies themselves will validate their fundamental strength, particularly margins and revenue resilience.
Specific levels to monitor include the beta metrics for each stock, which should be recalculated periodically to ensure the low-correlation thesis remains intact. Investors should also watch the relative performance ratio of the Consumer Staples Select Sector SPDR Fund (XLP) and the Health Care Select Sector SPDR Fund (XLV) against the SPY. A rising ratio may indicate increasing market risk aversion and a favorable environment for defensive sectors. Support and resistance levels for individual stocks, like American Tower's 52-week range of $160.06 to $208.03, provide technical context for entry or evaluation points.
Should economic data signal a softening economy or renewed market stress, these low-beta stocks are positioned to potentially exhibit relative strength. Conversely, a clear pivot by the Fed toward an easing cycle coupled with strong economic growth could see capital rotate away from defensives toward more cyclical equities. The strategy's efficacy is not static and depends on the prevailing market regime.
Beta measures a stock's volatility in relation to the overall market, which has a beta of 1.0. A stock with a beta of 0.5 typically moves half as much, in percentage terms, as the market on an average day. A beta below 1.0 indicates lower volatility than the market, while a beta above 1.0 indicates higher volatility. Beta is a key component of the Capital Asset Pricing Model and is used to estimate a stock's expected return based on its risk profile. Stocks with low beta, like those highlighted, are often sought for portfolio diversification to reduce overall risk.
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