1. Most of my questioners lived through the dot-com bubble of the 1990s and its subsequent crash in early 2000. In the late 1990s, the notion that computer and internet stocks could only go higher took hold, which proved dead wrong and devastating to many investors when some tech stocks fell by 90%.
2. Nvidia and its artificial intelligence computer chips are skyrocketing in much the same way that Cisco and Intel did in the late 1990s, before crashing back to earth in 2000.
3. The Fed gives the impression that their rate hikes are finished, but inflation is still running near 3.5% and shows little signs of slowing on a month over month basis.
3. If the Fed does not have inflation under control, a spike in long-term interest rates could cause another sell off in tech stocks just as it did in 2022.
One of the most disappointing aspects of modern day investing is we seem to have all become momentum investors. Find a winning stock, jump on board, and hope to sell out before it turns lower. Ben Graham's famous quote about how stocks operate is in full bloom today. He said, "In the short run, the market is a voting machine, but in the long run it is a weighing machine." The point being, stock prices can be driven to ridiculous levels by short-term projections of how high is the sky, but ultimately, stock prices find their correct value.
Over the years, I have developed two stock market valuation tools. One looks back and is primarly earnings driven. The other looks forward and is dividend and interest rate driven. Dividends would seem to be a very pedestrian way to value a gold rush, but over the years, I have found the growth of S&P 500 dividends in combination with changes in long-term interest rates have been the best risk-adjusted predictor of S&P 500 prices. At present, my dividend discount model predicts that the fair value of the S&P 500 is approximately 5800. At 5300, that would mean stocks are modestly undervalued. However, one has to realize that the forward dividends and earnings estimates are heavily influenced by Wall Street's 3-5 year forward estimates for tech stocks.
My answer to the questions I have been receiving about the risks in the markets is a familiar one: "It depends." It depends on whether the AI and other high-flying tech stocks can deliver the dividends and earning growth Wall Street is now projecting. If the overall S&P 500 can deliver numbers reasonably close to the current estimates, the market is modestly undervalued and vice versa. I'll keep you posted in the weeks and months ahead how the estimates are holding up and measuring up, as well report on how interest rates are impacting my model.
