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Here’s why September and October are historically weak for stocks

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José Luis Gutiérrez | iStock Photo

Why are September and October historically weak for stocks? For answers, I turned to Mark Higgins, senior vice president at Index Fund Advisors and author of the book, Investing in U.S. Financial History: Understanding the Past to Forecast the Future.

The answers have been edited for clarity.

What is it with September and October being weak months for stocks?  Has this always been the case?

Yes. The most intense panics on Wall Street have tended to occur during the late summer and early autumn months. This can be traced all the way back to the 1800s. A few notable examples of exceptional panics include Black Friday of 1869, the Panic of 1873 and the Panic of 1907.

But why September and October?

It is a byproduct of an old weakness in the U.S. financial system.  Prior to the reintroduction of a central banking system with the passage of the Federal Reserve Act of 1913, the U.S. was limited in its ability to adjust the money supply in response to market conditions.

The inelasticity of the U.S. currency made the late summer and early autumn months an especially precarious time, due to the agricultural financing cycle. In the 1800s, the U.S. economy still relied heavily on agricultural production.  For the first eight months of the year, American farmers had a limited need for capital, so excess funds held on deposit in state banks were shipped to New York banks or trust companies to earn a higher rate of return.

When harvest time arrived in August, state banks began withdrawing their capital from New York, as farmers drew on their accounts to fund transactions required to ship crops to market.

The agricultural financing cycle created chronic shortages of cash in New York City during the autumn months. If these shortages happened to coincide with a financial shock, there was little flexibility in the system to prevent a panic. 

How did the government respond to these panics?

The limited ability of the government to react was the primary impetus for the passage of the Federal Reserve Act of 1913. The Act granted the Fed the power to serve as a lender of last resort during financial crises. Prior to the Act, leading financiers (most notably J.P. Morgan) were forced to assemble ad hoc solutions that relied primarily on private capital. After the U.S. barely avoided a catastrophic collapse of the financial system during the Panic of 1907, there was just enough political support for the return of the third and final iteration of a central banking system in the United States. 

Did the creation of the Federal Reserve provide more stability to markets? 

Yes, and if one compares the frequency, intensity and misery of financial panics during the 1800s, this is plainly evident. In fairness, the Fed made a few mistakes along the way, with the most notable being its failure to stop the contagion of bank failures in the 1930s. But, by and large, the U.S. financial system has been much more stable since the Federal Reserve became operational in late 1914. 

Still, the U.S. economy is not primarily agricultural anymore.  Why are September and October still weak months?

People tend to fear things that have happened before even if they don’t remember the origin of the fear. It may be that the fall panics have repeated so many times that they have become a self-fulfilling prophecy. In other words, people expect them, and because they expect them, they behave in ways (i.e., reducing risk in late summer and early fall) that make them more likely. I know this sounds like a stretch, but it does seem like it may actually be real.

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Why software stocks, 2026’s market dogs, have joined the rally

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ETF shelters from the Middle East War

Cybersecurity and enterprise software stocks have been market dogs in 2026, with fears that AI will wipe out a wide range of companies in the enterprise space dominating the narrative. But they snapped a brutal losing streak this past week, joining in the broader market rally that saw all losses from the U.S.-Iran war regained by the Dow Jones Industrial Average and S&P 500.

Cybersecurity has been “a victim of some of the AI-related headlines,” Christian Magoon, Amplify ETFs CEO, said on this week’s “ETF Edge.”

It wasn’t just niche cybersecurity names. Take Microsoft, for example, which was recently down close to 20% for the year. Its shares surged last week by 13%.

A big driver of the pummeling in software stocks was a rotation within tech by investors to AI infrastructure and semiconductors and some other names in large-cap tech, Magoon said, and since cybersecurity stocks and ETFs are heavily weighted towards software companies, they were left behind even as those businesses continue to grow on a fundamental basis.

But Wall Street now has become more bullish with the stocks at lower levels. Brent Thill, Jefferies tech analyst, said last week that the worst may be over for software stocks. “I think that this concept that software is dead, and then Anthropic and OpenAI are going to kill the entire industry, is just over-exaggerated,” he said on CNBC’s “Money Movers” on Wednesday.

Big Short” investor Michael Burry wrote in a Substack post on Wednesday that he is becoming bullish about software stocks after the recent selloff. “Software stocks remain interesting because of accelerated extreme declines last week arising from a reflexive positive feedback loop between falling software stocks and changes in the market for their bank debt,” he wrote.

The Global X Cybersecurity ETF (BUG), is down about 12% since the beginning of the year, with top holdings including Palo Alto Networks, Fortinet, Akamai Technologies and CrowdStrike. But BUG was up 12% last week. The First Trust NASDAQ Cybersecurity ETF (CIBR) is down 6% for the year, but up 9% in the past week.

Piper Sandler analyst Rob Owens reiterated an “overweight” rating on Palo Alto Networks which helped the stock pop 7% — it is now down roughly 6% on the year. Its peers saw similar moves, including CrowdStrike.

Stock Chart IconStock chart icon

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Performance of Global X cybersecurity ETF versus S&P 500 over past one-year period.

Magoon said expectations may have become too high in cybersecurity, and with a crowding effect among investors, solid results were not enough to to push stocks higher. But the down-and-then-back-up 2026 for the sector is also a reminder that when stocks fall sharply in a short period of time, opportunity may knock.

“Once you’re down over 10% in some of these subsectors, you start to see the contrarians start to say, ‘well, maybe I’ll take a look at this,'” Magoon said.

He said AI does add both opportunity and uncertainty to the cybersecurity equation, increasing demand but also introducing new competition. But he added, “I think the dip is good to buy in an AI-driven world,” specifically because the risks to companies may lead to more M&A in cyber names that benefits the stocks.

For now, investors may look for opportunity on the margins rather than rush back into beaten-up tech names. “I think investors are still going to remain underweight software,” Thill said.

But Magoon advises investors to at least take the reminder to keep an eye on niches in the market during pronounced downturns. “The best-performing are often the least bought and do the best over the next 12 months versus late-in-the-game piling on,” he said.

While that may have been a mindset that worked against the last investors into cybersecurity and enterprise software in mid-2025 when the negative sentiment started building, at least for now, it’s started working for the stocks in the sector again.

Meanwhile, this year’s biggest winner is also a good example of what can be an extended trade in either a bullish or bearish direction. Last year, institutional ownership of energy was at multi-year lows, Magoon said, referencing Bank of America data. “Reverse sentiment can be a great indicator,” he said. 

But he cautioned that any selective buying of stocks that have dipped does have to contend with the risk that there is a potentially bigger drawdown in the market yet to come in 2026. That is because midterm election years historically have been marked by large drawdowns. “If you think it is bad right now, it could get a lot worse,” Magoon said. But he added that there’s a silver-lining in that data, too, for the patient investor. The market has posted very strong 12-month returns after midterm election drawdowns end. So, for investors with a longer-term time horizon and no need for short-term liquidity, Magoon said, “stick in there.” 

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Violent downturns could test new ETF strategies, warns MFS Investment

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ETF Stress Tests: How funds are showing resilience in the face of uncertainty

New innovation in the exchange-traded fund industry could come at a cost to investors during extreme conditions.

According to MFS Investment Management’s Jamie Harrison, ETFs involved in increasingly complex derivatives and less transparent markets may be in uncharted territory when it comes to violent downturns.

“Those would be something that you’d want to keep an eye on as volatility ramps up,” the firm’s head of ETF capital markets told CNBC’s “ETF Edge” this week. “As innovation continues to increase at a rapid pace within the ETF wrapper, [it’s] definitely something that we advise our clients to be really front-footed about… Lack of transparency could absolutely be an issue if we’re going to start seeing some deep sell-offs.”

His firm has been around since 1924 and is known for inventing the open-end mutual fund. Last year, ETF.com named MFS Investment Management as the best new ETF issuer.

“It’s important to do due diligence on the portfolio,” he said. “Having a firm that has deep partnerships, deep bench of subject matter experts that plays with the A-team in terms of the Street and liquidity providers available [are] super important.”

Liquidity as the real issue?

Harrison suggested the real issue is liquidity, particularly during a steep sell-off.

“We’ve all seen the news and the headlines around potential private credit ETFs. That picture becomes much more murky,” he added. “It’s up to advisors, to investors [and] to clients to really dig in and look under the hood and engage with their issuers.”

He noted investors will have to ask some tough questions.

“What does this look like in a 20% drawdown? How does this liquidity facility work? Am I going to be able to get in? Am I going to be able to get out? And if I’m able to get out, am I able to get out at a price that’s tight to NAV [net asset value], and what’s the infrastructure at your shop in terms of managing that consideration for me,” said Harrison.

Amplify ETFs’ Christian Magoon is also concerned about these newer ETF strategies could weather a monster drawdown. He listed private credit as a red flag.

“If your ETF owns private credit, I think it’s worth taking a look at, kind of what the standards are around liquidity and how that ETF is trading, because that should be a bit of a mismatch between the trading pace of ETFs and the underlying asset,” the firm’s CEO said in the same interview.

Magoon also highlighted potential issues surrounding equity-linked notes. The notes provide fixed income security while offering potentially higher returns linked to stocks or equity indexes.

“Those could potentially be in stress due to redemptions and the underlying credit risk. That’s another kind of unique derivative,” Magoon said. “I would very closely look at any ETF that has equity-linked notes should we get into a major drawdown or there be a contagion in private credit or something related to the banking system.”

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Anthropic Mythos reveals ‘more vulnerabilities’ for cyberattacks

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Jamie Dimon, chief executive officer of JPMorgan Chase & Co., right, departs the US Capitol in Washington, DC, US, on Wednesday, Feb. 25, 2026.

Graeme Sloan | Bloomberg | Getty Images

JPMorgan Chase CEO Jamie Dimon said Tuesday that while artificial intelligence tools could eventually help companies defend themselves from cyberattacks, they are first making them more vulnerable.

Dimon said that JPMorgan was testing Anthropic’s latest model — the Mythos preview announced by the AI firm last week — as part of its broader effort to reap the benefits of AI while protecting against bad actors wielding the same technology.

“AI’s made it worse, it’s made it harder,” Dimon told analysts on the bank’s earnings call Tuesday morning. “It does create additional vulnerabilities, and maybe down the road, better ways to strengthen yourself too.”

When asked by a reporter about Mythos, Dimon seemed to refer to Anthropic’s warning that the model had already found thousands of vulnerabilities in corporate software.

“I think you read exactly what is it,” Dimon said. “It shows a lot more vulnerabilities need to be fixed.”

The remarks reveal how artificial intelligence, a technology welcomed by corporations as a productivity boon, has also morphed into a serious threat by giving bad actors new ways to hack into technology systems. Last week, Treasury Secretary Scott Bessent summoned bank CEOs to a meeting to discuss the risks posed by Mythos.

JPMorgan, the world’s largest bank by market cap, has for years invested heavily to stay ahead of threats, with dedicated teams and constant coordination with government agencies, Dimon said.

“We spend a lot of money. We’ve got top experts. We’re in constant contact with the government,” he said. “It’s a full-time job, and we’re doing it all the time.”

‘Attack mode’

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