Despite a 25-basis-point interest rate hike by the Federal Reserve, UBS analysts assert that the equity rally will persist, underpinned by a resilient economy and strong corporate earnings. The Fed unanimously raised its federal funds target range to 3.75%-4.00%, with Fed Chair Kevin Warsh noting economic activity is "expanding at a solid pace." However, UBS views much of the monetary tightening as already priced into the market, as evidenced by the S&P 500's modest 0.4% decline and the two-year Treasury yield's minimal 1 basis point increase on the announcement day.
UBS points to several factors supporting its positive outlook on stocks. The bank highlights the Fed's upgraded growth forecasts and robust August retail sales, which increased by 1.2%, as indicators of the economy's ability to withstand higher rates. Furthermore, UBS projects strong S&P 500 profit growth of 25% in 2026 and 14% in 2027, providing a substantial buffer against rising yields.
Continued investment in artificial intelligence (AI) is also expected to be a significant tailwind, with UBS forecasting industry capital spending to increase from $900 billion to $1.2 trillion in 2027. While UBS expects further gains in the stock market, they advise clients to prepare for potential near-term volatility and recommend maintaining diversified exposure, avoiding excessive concentration in rate-sensitive sectors. Some investors appear to have already moved on from the rate hike, focusing instead on earnings momentum and AI-related capital expenditure.
While the market reaction to the Fed's hawkish stance was limited, some analysts warn that the soft-landing interpretation could be jeopardized by margin compression due to higher interest expenses, wage pressure, and reduced pricing power. A deterioration in high-yield spreads or upward revisions to corporate interest-expense guidance could signal trouble. Over the longer term (6-18 months), a higher-for-longer rate environment is expected to favor companies that can self-fund investments and return capital, particularly quality infrastructure and cash-rich platform exposures in the AI space.
