U.S. equities were mixed last week. The S&P 500 (+1.58%) and NASDAQ posted solid gains, while the Dow and Russell 2000 were both lower. Breadth was narrow again. The upside was driven in large part by another rate rally and more soft-landing optimism. The best sector was technology (+6.43%); the worst sectors were energy (-2.29%) and financials (-1.97%). Key takeaways: The U.S. CPI was flat m/m (3.3% y/y) and core (except food and energy was+ 0.2% m/m (3.4% y/y) in May. While the downsid… View More
Equities advanced last week (S&P 500 +1.36%) as the S&P 500 and NASDAQ hit new all-time highs. Breadth was narrow as the equal weight S&P fell for the week. Best-performing sectors were technology (+3.83%) and healthcare (+1.96%); laggards included utilities (-3.81%) and energy (-3.41%). May non-farm payrolls increased 272,000 well above consensus. The unemployment rate rose to 4.0%. the highest level in over two years. Disappointing for potential Fed rate cuts, average hourly ear… View More
After Nvidia reported last week, the first quarter earnings season is nearly complete, and overall, it was strong. The overall index grew at 8.0%, which was better than the January 1st expected growth rate of 7.2%. Revenues were at 3.8%, a touch lighter than the January 1st estimate of 4.1%, with the drag coming from Utilities and Materials. Despite not having strong growth rates, financials were the standout sector as their growth expectations exceeded estimates even before the collapse of SVB … View More
Now that we are past Memorial day in an election year, all eyes are on the upcoming election. We get a lot of questions as to what the market usually does in election years. I thought it would be helpful to share some information on what we should expect. Macro/Pre-Election: Policymakers Will Keep Liquidity/Stimulus Flowing In 2024 S&P 500 has increased in every presidential reelection year since 1944 as sitting presidents stimulate the economy ahead of their reelection. Average retu… View More
The primary justification for excluding food and energy from the Bureau of Labor Statistics’ “core” CPI number is that the data are noisy and, therefore, difficult for economists to forecast. Naturally, that raises another question: Does the data exist for economists and policymakers to make their decisions, or do they exist for regular people when deciding how to run their economic lives? Excluding food, energy, and housing from the “supercore” measure seems a little much because, le… View More