Let's begin by detailing these shocks. The first is monetary normalization: as soon as a highly valued market had to price in a rise in the discount rate, multiples compressed rapidly. The second involves macro-financial shocks: trade wars, yield curve inversions, credit stress, imported inflation, or energy shocks have regularly shifted the market from a logic of earnings growth to one of capital preservation. The third category is pure exogenous shocks, the extreme case remaining the 2020 pandemic.
What emerges from this 2016-2026 sequence is that corrections do not arise solely from bad news; they appear primarily when bad news hits a market that is already demanding in terms of valuation, already dependent on liquidity, or already vulnerable to a revision of the macro scenario. Research from the Fed, the BIS, and the IMF converges on this point: the sensitivity of risky assets increases sharply when expectations for growth, inflation, and monetary policy shift simultaneously.
Timeline of Significant Declines
August 15, 2016 – November 4, 2016
- Number of days: 81
- High point: 2,194
- Low point: 2,084
- Decline: -5.0%
This late-cycle pullback was primarily a correction driven by political uncertainty. The US presidential election increased the risk premium demanded by investors, as markets did not yet know what direction the future administration's trade, fiscal, immigration, and regulatory policies would take. In a market that was already expensive and seeing very low volatility, this type of uncertainty acts as a shock to multiples rather than to immediate earnings. Academic studies on the 2016 election show that markets then associated a disruptive victory with a significant rise in implied volatility and a revaluation of macro risk.
January 26, 2018 – February 9, 2018
- Number of days: 14
- High point: 2,873
- Low point: 2,533
- Decline: -11.8%
The February 2018 correction marked the abrupt end of the abnormally low volatility regime that had dominated 2017. The immediate trigger was the rapid rise in US bond yields, fueled by fears of firmer inflation and a potentially more aggressive Fed. However, the propagation mechanism was primarily technical: the spike in the VIX triggered a forced liquidation of short-volatility strategies, which amplified the equity pullback far beyond a simple fundamental adjustment. The BIS has shown that the episode owed much to market structure and the unwinding of positions built on the erroneous assumption of permanently compressed volatility.
September 21, 2018 – December 26, 2018
- Number of days: 96
- High point: 2,941
- Low point: 2,347
- Decline: -20.2%
The late 2018 sell-off was more macro-driven and deeper. The market simultaneously priced in a Fed perceived as too restrictive, a global cycle slowdown, deteriorating Chinese dynamics, and an escalation of the trade war between Washington and Beijing. In other words, the market began to fear a monetary policy error just as the external engine of global growth was weakening. The decline was therefore not just a compression of multiples; it also reflected a downward revision of the earnings trajectory, in a context where investors doubted the US economy's ability to remain decoupled from the global slowdown.
May 1, 2019 – June 3, 2019
- Number of days: 33
- High point: 2,954
- Low point: 2,729
- Decline: -7.6%
The spring of 2019 saw the return of trade fragmentation risk. The resumption of the tariff confrontation between the US and China revived fears of a shock to value chains, corporate investment, and global trade growth. This correction was also fueled by the signal from the yield curve inversion, which markets have long interpreted as an early warning on the cycle. Research from the New York Fed, the Cleveland Fed, and the BIS reminds us that an inverted curve is not a cause of recession, but a powerful aggregator of expectations for a slowdown, future monetary easing, and a decline in the perceived neutral rate.
July 26, 2019 – August 5, 2019
- Number of days: 10
- High point: 3,028
- Low point: 2,822
- Decline: -6.8%
The summer 2019 correction was triggered by a further rise in trade tensions, exacerbated by the decline of the yuan following the announcement of new US tariffs. This point is important: when the trade war also affects the exchange rate variable, the market stops seeing the conflict as a simple tariff negotiation and begins to fear a more lasting logic of global trade fragmentation. This explains the brutality of the move and the resurgence of recession fears. IMF analyses on geoeconomic fragmentation show precisely that the multiplication of trade restrictions reduces productive efficiency, weighs on investment, and eventually transmits to potential growth.
February 19, 2020 – March 23, 2020
- Number of days: 33
- High point: 3,394
- Low point: 2,192
- Decline: -35.4%
The March 2020 crash remains the most violent market shock of the period. It was not a simple valuation correction, but a simultaneous dislocation of demand, supply, mobility, credit, and earnings visibility. Added to the pandemic was the oil price war between Saudi Arabia and Russia, which worsened stress in credit markets and reinforced cross-asset panic. In this type of shock, investors do not sell only because profits will fall; they sell because they can no longer model profits, the duration of the shock, or even the normal functioning of markets. Monetary authorities had to respond with unprecedented emergency measures to restore liquidity and prevent a health crisis from turning into a systemic financial crisis.
September 2, 2020 – September 24, 2020
- Number of days: 22
- High point: 3,588
- Low point: 3,209
- Decline: -10.6%
The September 2020 pullback was an overheating correction within an extremely concentrated post-Covid rebound. Tech megacaps had driven most of the market recovery in an environment of very low real rates and expectations of additional fiscal support. When these expectations began to waver, against a backdrop of no immediate new stimulus plan, rising Covid cases, and the approaching presidential election, the market corrected first through the longest-duration segments. The key macro point is that the decline hit a market where nominal growth was still dependent on public policy, which mechanically increased equity sensitivity to any disappointment regarding stimulus.
February 16, 2021 – March 4, 2021
- Number of days: 16
- High point: 3,950
- Low point: 3,723
- Decline: -5.7%
The early 2021 correction was that of the "reflation trade." With the reopening of the economy, massive stimulus plans, and rising inflation expectations, US long-term yields tightened rapidly. When the risk-free rate rises, the present value of future cash flows decreases, and the most expensive segments dependent on distant earnings suffer the most. The IMF showed that the rise in nominal rates in 2021 reflected both higher inflation expectations and, particularly on certain maturities, a rise in real rates; the Fed itself acknowledged in its annual report that the market was significantly pulling forward the timeline for the withdrawal of monetary accommodation.
September 2, 2021 – October 4, 2021
- Number of days: 32
- High point: 4,546
- Low point: 4,279
- Decline: -5.9%
The autumn 2021 pullback combined three sources of stress: the Delta wave, concerns over Evergrande, and the idea that the Fed was approaching a more concrete tapering. Macroeconomically, this meant combining a risk to real growth, via health disruptions and supply chain issues, with a risk to global liquidity, via the future reduction of asset purchases. The Evergrande affair primarily acted as a catalyst: it revived fears that a Chinese slowdown, particularly via real estate, could spread to the rest of the world through trade, commodities and risk sentiment.
November 22, 2021 – December 3, 2021
- Number of days: 11
- High point: 4,744
- Low point: 4,495
- Decline: -5.2%
The late 2021 correction was fueled by a double narrative shock. On one hand, the emergence of Omicron brought back the risk of a health-related brake on global normalization. On the other, Jerome Powell opened the door to an acceleration of tapering, signaling that inflation was no longer being treated as purely transitory. For the market, this meant an unfavorable mix: more uncertainty about short-term activity and less monetary support in the medium term. This type of configuration weighs particularly on assets that had previously benefited from the combination of growth and abundant liquidity.
January 4, 2022 – October 13, 2022
- Number of days: 282
- High point: 4,819
- Low point: 3,492
- Decline: -27.5%
The 2022 bear market is the most classic in its mechanics and one of the most severe in its magnitude. US inflation had become too high and too broad-based to be ignored, forcing the Fed to abruptly tighten policy. Russia's invasion of Ukraine added a global energy and food shock, worsening imported inflation and compressing real disposable income. In such a regime, equities suffer a double negative effect: compression of multiples due to a higher discount rate, followed by earnings revisions as the slowdown takes shape. The Fed explicitly indicated in September 2022 that inflation remained too high and that further tightening would be necessary; meanwhile, the US central bank also documented that the war in Ukraine had caused a major jump in global geopolitical risk, with measurable effects on activity and inflation.
March 28, 2024 – April 19, 2024
- Number of days: 22
- High point: 5,265
- Low point: 4,954
- Decline: -5.9%
The spring 2024 correction stemmed from a repricing of rates. US inflation statistics showed slower-than-expected disinflation, which pushed back expectations for Fed rate cuts. Added to this monetary factor was the resurgence of tension in the Middle East between Iran and Israel, which revived the geopolitical premium on energy. For the equity market, the mechanism is clear: if inflation is more "sticky," the central bank keeps rates restrictive for longer, real yields remain high, and multiples mechanically contract. The IMF insisted in the spring of 2024 on the need to secure the inflation landing, which implied that central banks remained cautious despite the already observed decline in prices.
July 16, 2024 – August 5, 2024
- Number of days: 20
- High point: 5,670
- Low point: 5,119
- Decline: -9.7%
The summer 2024 decline was a genuine cycle alert. The market began to fear that the Fed had waited too long before easing, while weaker activity indicators revived the thesis of a more pronounced slowdown. The episode was worsened by the shock from Japan, with the unwinding of carry trade positions after a violent move in Japanese markets. In other words, a domestic macro concern about US growth met global positioning stress, explaining the speed of the correction. Market reports at the time highlighted precisely this combination of weak US data, rising risk aversion, and the unwinding of international leverage.
February 19, 2025 – April 7, 2025
- Number of days: 47
- High point: 6,147
- Low point: 4,835
- Decline: -21.3%
The 2025 retracement corresponds to a real trade regime shock. Tariff escalation brought back fears of a self-inflicted global slowdown: rising import costs, margins under pressure, delayed investment, reconfigured supply chains, and the risk of inflationary re-acceleration. What hurt the market was not just the prospect of higher tariffs, but the idea that a trade tightening could simultaneously weaken growth and complicate the Fed's task. Reuters reported then that the S&P 500 correction was fueled precisely by this fear of a tariff conflict capable of reviving inflation while tipping the economy toward recession. This reading is consistent with IMF research on fragmentation, which concludes that the multiplication of trade barriers eventually weighs significantly on global output.
October 29, 2025 – November 21, 2025
- Number of days: 22
- High point: 6,920
- Low point: 6,522
- Decline: -5.8%
This correction was dominated by fears of an artificial intelligence bubble. The macro-financial backdrop is classic: when a theme concentrates a growing share of market capitalization, capital expenditure, and earnings expectations, the market becomes highly sensitive to the slightest doubt about monetization, the pace of adoption, or return on capital. In 2025, the concentration of performance around AI had made US indices more vulnerable to a leadership correction. International institutions noted in parallel that AI-related investment already weighed heavily on North American dynamics, meaning that a questioning of this engine could have effects beyond the technology sector alone.
January 28, 2026 – March 24, 2026
- Number of days: 53
- High point: 7,002
- Low point: 6,474
- Decline: -7.6%
The most recent correction combines three stresses of a different but cumulative nature. First, the war with Iran caused an oil spike, leading to a resurgence of inflationary risk and a deterioration of the real growth outlook. Second, the market began to worry about pockets of fragility in private credit, a segment that has become systemic in non-bank corporate financing. Finally, the AI narrative cracked at the margin, particularly around software and the sustainability of certain growth expectations. This is exactly the type of cocktail that weighs on equities: an energy shock, fears of financial contagion, and doubts about the dominant earnings engine. Recent analyses show that the oil rise linked to the conflict rapidly tightened financial conditions, while several major banks warned of private credit vulnerability and potential defaults in sectors most exposed to AI disruption.
The S&P 500 never really corrects by simple accident. Short declines of 5% to 10% often correspond to a valuation adjustment when the market must recalibrate rates, liquidity, or the growth trajectory. In contrast, episodes of more than 15% appear when several variables malfunction simultaneously: monetary policy, global trade, energy, credit or exogenous shocks. The common thread is therefore less the exact nature of the triggering event than its ability to simultaneously move the discount rate and earnings expectations. It is for this reason that the most violent corrections almost always arise in expensive, concentrated markets convinced that public liquidity will remain abundant.
As the S&P 500 has declined by 3%-4% YTD, investors are wondering how far this retracement will go. Can the war in Iran, and its consequences, tip the market into a more severe correction zone?
