Wilson forecasts final US equity sell-off before correction ends

A roadmap published by Mike Wilson earlier this week signals short-term weakness for semiconductors and AI-related credit, while setting up a buy-the-dip opportunity for early-cycle sectors once the catalysts resolve. This makes AI-linked debt markets and credit spreads on data centers the key indicators to track in the weeks ahead. A potential two-stage pattern exists for the US dollar, though this conclusion arises from editorial analysis and not from Morgan Stanley. A final risk-off shock could lift the dollar as safe-haven demand increases. Should that stress force the Federal Reserve toward easing, the same event could mark the peak of the dollar's strength. Elevated energy prices connected to the Iran conflict represent a risk to the expected schedule because they worsen the tightening pressure Wilson describes.

Morgan Stanley's outlook holds that the equity correction still has one more downward leg to run, and the stress delivering that leg may be what brings the Fed to the rescue.

The key points of Wilson's analysis are as follows:

• Wilson states the correction that began in June is in its final phase
• He projects a tactical S&P 500 decline to 7,100–7,200, then a year-end target of 8,000
• AI worries are expected to climax in three to four weeks as the market absorbs debt supply, with chips potentially losing another 10% to 15%
• Morgan Stanley sees the midterms as an obstacle whose removal typically boosts markets
• Wilson calls liquidity the key catalyst: financial conditions are near 2018 levels and close to 2022 severity, threatening to force a Fed reversal
• Semiconductors, financials, consumer cyclicals and autos are seen leading any recovery

Mike Wilson of Morgan Stanley holds that the US equity market correction, which started in June, is in its final stages. He anticipates markets may need a final sell-off before a lasting recovery, with three catalysts determining when the bottom arrives.

Wilson, the bank's chief US equity strategist, projects tactical downside for the S&P 500 to between 7,100 and 7,200, slightly below its 200-day moving average, before a rebound toward his year-end 8,000 target. He contends that much of the damage has already been done beneath the surface of the headline index. Roughly 60% of Russell 3000 stocks are down over 20% since the correction began, and in semiconductors that share is 96%.

The first catalyst is artificial intelligence. Morgan Stanley expects investor concern over AI to peak in the next three to four weeks as the market digests a steep rise in related debt issuance. Those concerns cover returns on capital, funding requirements, widening credit spreads on data center bonds, and local resistance to new facilities. The bank's strategists noted that semiconductors may slide another 10% to 15% before establishing a floor around mid-November.

The second catalyst is the US midterm elections. Morgan Stanley views the vote as a hurdle whose removal benefits the market, not a lasting threat. It notes the S&P 500 has historically averaged a gain of about 17% in the 12 months following a midterm election.

Liquidity, the third catalyst, is considered the most important by Wilson. The Federal Reserve has resumed rate increases and roughly halved the pace of its balance sheet expansion, while higher energy costs add further pressure. In Wilson's view, markets are effectively tightening financial conditions for the Fed, and those conditions have now tightened to a level comparable with 2018 and nearly as severe as 2022. This could slow growth and help reduce inflation. He cautioned, however, that it could also generate enough financial strain to force the Fed to reverse course before inflation is fully contained.

Wilson sees opportunities as these catalysts resolve. Sentiment is neutral and third-quarter earnings growth is running at nearly 27%. He expects early-cycle groups that have lagged, including semiconductors, financials, consumer cyclicals and autos, to lead any recovery, with semiconductors offering the most rebound potential. The main risk to this view is timing: a slower resolution of any catalyst would push the expected bottom further out.