Are Rate Hikes Actually Bad for Stocks? What the Data Shows

Most investors carry a simple assumption into every Federal Reserve tightening cycle: rising rates are bad for stocks. The historical data, across multiple decades and numerous hiking campaigns, says that assumption is mostly wrong.

That does not mean rate hikes are painless. The short-term discomfort is real, statistically documented, and sometimes sharp enough to test your conviction. But the longer-term record tells a story that is more nuanced than the headlines suggest. The 2022 cycle is a large part of why this question feels so urgent today; it left a scar that colours how many investors think about the next tightening episode.

Here is a framework for reading the historical record accurately, understanding the mechanism behind the pattern, and calibrating your own positioning the next time the Fed begins raising rates, rather than reacting to the first red day on instinct.

What the historical record actually shows about S&P 500 returns

The near-term weakness is not a myth. Goldman Sachs data shows the S&P 500 has typically shed around 2% in the three months after the first rate hike of a new tightening cycle. That early drawdown is consistent enough across cycles to treat it as a baseline expectation, not a surprise.

What happens next is where the assumption breaks down.

When measured across the full 12 months from the start of a tightening cycle, Goldman Sachs data shows the S&P 500 has typically returned around 9% on average, with the 2022 episode excluded from that figure. Across multiple cycles stretching back to the 1970s and 1980s, positive 6-12 month returns have been the norm rather than the exception.

The roughly 9% average 12-month gain after the first hike, per Goldman Sachs (excluding 2022), is the single most important number to hold in your head when early-cycle volatility arrives.

The practical implication is straightforward. The 2% near-term dip is real but small relative to the average recovery that follows. If you react to early volatility by reducing equity exposure, the historical record says you have typically made a costly timing error, selling into the discomfort and missing the recovery that followed.

Why 2022 broke the historical pattern

If the average is so favourable, why does the question feel so loaded? Because 2022 did not follow the script, and it is the most recent data point in your memory.

Goldman Sachs explicitly identified the 2022 tightening cycle as an exception to the generally positive longer-term pattern. But calling it an exception is only useful if you understand what made it one.

What made 2022 different

The 2022 cycle was not a standard rate-hiking campaign. It was emergency-style tightening into a supply-shock inflation spike, and virtually every condition that normally makes a hiking cycle manageable was absent simultaneously:

• Speed of hikes: The fastest and most aggressive tightening in decades, with repeated large increases that gave markets little time to adjust.
• Inflation regime: Multi-decade high inflation driven by supply-chain disruption, not the kind of measured demand-cooling that typically prompts rate increases.
• Starting valuations: Equity valuations were elevated entering the cycle, leaving less cushion for the compression that higher rates produce.
• Concurrent macro shocks: Commodity stress and geopolitical disruption compounded the monetary tightening, creating headwinds from multiple directions at once.

What a more typical cycle looks like

A gradual, well-telegraphed hiking campaign in a stable inflation environment is a fundamentally different animal. When the Fed raises rates because the economy is strong enough to absorb it, and does so at a pace markets can digest, the conditions that produced the 2022 outcome simply are not present.

The 2022 episode tells you that the variable to monitor is not whether rates are rising but how fast, from what starting point, and against what inflation and valuation backdrop. Those conditions determine whether a given cycle tracks the historical average or departs from it.

How the Fed’s rate decisions actually move through markets

Understanding the two-phase pattern (early dip, then recovery) is more useful when you understand why it exists. The mechanism runs through two channels: valuation repricing and real economy transmission.

When the Fed raises rates, the most immediate impact hits through a concept called the discount rate. Discounted cash flow (DCF) models, which are the standard method for valuing a company based on its expected future profits, use a rate to translate future earnings into their present-day value. When that rate rises, the present value of future earnings falls, even if the earnings themselves have not changed.

Discounted cash flow models translate expected future earnings into a present-day value using a discount rate, and the terminal value assumption alone typically drives 60-80% of a model’s total implied intrinsic value, making it the most sensitive variable when the Fed begins moving rates.

This hits long-duration growth stocks hardest, because more of their value sits in earnings expected years from now.

The transmission sequence works like this:

1. The Fed raises the benchmark rate, signalling tighter monetary policy and a higher cost of capital across the economy.
2. Bond yields adjust upward, and the discount rate used in equity valuation models rises with them, compressing the present value of future earnings.
3. Market sentiment reprices quickly, producing the short-term selloff as investors recalculate valuations, particularly for long-duration and speculative growth names.
4. Real economy effects arrive on delay, as higher borrowing costs raise funding expenses for corporations, with the sharpest impact on companies carrying large floating-rate debt or weak interest coverage ratios (a measure of how easily a company can pay interest on its outstanding debt).
5. The recovery phase begins as markets adjust once the pace of hikes and the likely terminal rate become clearer, and earnings data either confirms or denies the worst-case repricing.

Long and variable lags in monetary policy transmission mean that rate increases often take well over a year to fully reach the real economy, which helps explain why the short-term equity selloff and the eventual corporate earnings impact rarely arrive at the same time.

Goldman Sachs research pointed to companies carrying high proportions of floating-rate debt and those with weaker overall balance sheet quality as the businesses most exposed when interest rate expectations shift during a tightening cycle.

Once you see this mechanism, the early dip becomes predictable and the recovery makes sense. The market initially overshoots the valuation adjustment on sentiment. Then it corrects as actual earnings data arrives and either validates the initial panic or, more commonly, reveals that the economy and corporate profits are absorbing the hikes better than the first reaction implied.

The distinction that matters for your portfolio: a valuation-driven selloff, where prices fall because the discount rate changed rather than because the business deteriorated, often recovers. A fundamentals-driven deterioration, where earnings are genuinely falling because the real economy is contracting, may not. Knowing which one you are looking at in real time is the difference between holding through normal volatility and holding through genuine damage.

Which sectors have historically won and which have lagged

Sector performance during hiking cycles rarely follows the intuitive narrative. Goldman Sachs identified divergent historical patterns that challenge some of the most common assumptions investors carry into tightening environments.

Sectors that have tended to hold up

According to Goldman Sachs, the technology sector has historically demonstrated relative strength during the initial phase of Fed rate-hiking cycles. When hikes begin against a backdrop of strong economic growth, cash-generative technology and growth names have often continued to perform well because revenue and earnings momentum offsets some of the valuation pressure. The important caveat: this applies to profitable, cash-generating technology businesses, not highly speculative long-duration names, which are more vulnerable when hikes are fast and starting valuations stretched.

Value and quality factor exposures have also provided steadier performance during tightening cycles. Companies with strong balance sheets, lower leverage, and consistent cash flow navigate rising funding costs better than more stretched peers, regardless of what sector label they carry.

Sectors that have historically struggled early in the cycle

The financials finding is the one that challenges intuition most directly. Goldman Sachs analysis showed that financial sector stocks have historically underperformed during early tightening periods, despite the theoretical benefit from wider net interest margins (the gap between what a bank earns on loans and what it pays on deposits). When the yield curve is flattening, loan demand is softening, and credit quality concerns are rising, those headwinds offset the margin tailwind.

The financials story should recalibrate how you think about “rate beneficiaries.” Higher rates do not automatically translate to higher bank profits when the conditions that accompany the rate increases are simultaneously compressing loan growth and raising credit risk.

Across all sectors, firms with large floating-rate debt loads and thin interest coverage see interest expense rise immediately, creating earnings headwinds as hikes accumulate. This amplifies dispersion within sectors: your choice of individual company matters as much as your sector allocation.

The practical framework: what history tells you to watch

The historical data is only useful if you can apply it in real time. Here is the framework that pulls together the key findings into something you can use at the start of any future hiking cycle.

The first step is holding the two-phase mental model. Expect near-term volatility and sector rotation as typical responses to the initial hike, not as signals to exit equities entirely. The approximately 2% average first-quarter dip and approximately 9% average 12-month gain are your baseline, the starting probability you carry into any cycle.

The second step is assessing whether the current cycle is likely to track that baseline or depart from it. Four variables determine the answer:

• Speed of hikes: Gradual, well-telegraphed increases are historically manageable. Rapid, repeated large hikes compress the market’s ability to adjust and increase the risk of overshooting.
• Starting valuations: When equities enter a cycle at elevated multiples, the valuation compression from higher discount rates has further to fall. Lower starting valuations provide more cushion.
• Inflation regime: Preemptive tightening against modest inflation is a different exercise from emergency tightening into a supply-shock inflation spike. The inflation context shapes the terminal rate expectation and the economic damage along the way.
• Balance sheet quality of your holdings: Leverage, interest coverage, and the mix of fixed versus floating-rate debt within your portfolio determine how directly higher rates affect the companies you own.

The inflation regime entering a tightening cycle is the variable with the longest tail risk: a 1.3 percentage-point gap between headline and core CPI in May 2026 confirmed that the current energy-driven uptick shares the supply-shock character of 2022, rather than the demand-overheating pattern that typically precedes gradual, well-telegraphed Fed campaigns.

Goldman Sachs research emphasised that quality and balance sheet screens become particularly important in rising-rate environments, where funding cost increases create dispersion between strong and weak balance sheets.

The most actionable takeaway from this framework is a shift in the question you ask. Rather than “should I reduce equities,” the right question at the start of any hiking cycle is: “what conditions in this specific cycle differ from the historical average, and do those differences justify a different positioning?”

What the pattern holds and where it has limits

The historical pattern, a modest early dip followed by a positive 12-month average return, is not a single-study finding. It is a base rate documented across multiple decades of Fed tightening cycles stretching back to the 1970s and 1980s, with the Goldman Sachs data providing specific quantification of the approximately 2% early dip and approximately 9% subsequent gain.

That base rate is durable, but it is not a guarantee. Historical averages mask dispersion: some cycles delivered returns well above 9%, and 2022 demonstrated that tail outcomes exist when the conditions are sufficiently extreme. Every cycle has idiosyncratic features, whether in the inflation backdrop, the geopolitical environment, the starting valuations, or the Fed’s own communication and pacing.

The value of this historical record is not that it predicts the next cycle’s return. It is that it establishes a prior probability, a starting point that shifts the burden of proof. Anyone arguing for a dramatic departure from the historical baseline should be able to point to specific conditions, like those present in 2022, that justify the departure. Without those conditions, the historical record says the odds favour staying invested through the early volatility rather than reacting to it.

Use it as a calibration tool, not a prediction engine. Hold the base rate, but update your prior as the specific conditions of the current cycle become clearer.

For investors wanting to see how the four variables in this framework apply to the current policy environment, our full explainer on the 2026 Fed outlook shift traces how markets moved from pricing 50-75 basis points of cuts to a 65-70% probability of a hike in just ten weeks.

This article is for informational purposes only and should not be considered financial advice. Investors should conduct their own research and consult with financial professionals before making investment decisions. Past performance does not guarantee future results. Financial projections are subject to market conditions and various risk factors.