Have you ever heard the phrase “up like a rocket, down like a stick” used to describe a sudden rise in stock prices that seems unsustainable? This analogy beautifully captures the concept of gravity in the world of investments. Market reporters often use terms like “soaring,” “climbing,” “falling,” and “plunging” when discussing stock movements, reflecting this analogy. However, instead of the commonplace term “gravity,” financial experts prefer to talk about “mean reversion,” a term that may soon humble the high-flying AI-related stocks in the US.
Mean reversion is essentially the idea that stock prices fluctuate around a true value, to which they always return. If you could accurately determine this true value, you could profit by buying shares below it and selling them when they rise above it. However, as Joe Wiggins, an expert in behavioral finance, points out, predicting when mean reversion will happen is nearly impossible.
In recent years, discussions around mean reversion have intensified as the S&P 500 index has reached record highs, with US stocks now comprising a significant portion of global equities. This surge is largely attributed to the exceptional performance of US tech giants like Microsoft and Apple, driven by a frenzied interest in emerging artificial intelligence technology.
Naturally, these circumstances have led to repeated warnings of a potential mean reversion event, hinting at an imminent decline in US stock prices. However, merely looking at nominal stock prices does not provide a complete picture. What truly matters to investors is the relationship between stock prices and potential earnings, often assessed using the Shiller’s Cape ratio.
Shiller’s Cape ratio, a cyclically-adjusted price to earnings measure, currently stands at historically high levels for the S&P 500, raising concerns about an eventual reversion to its long-term average. Market pessimists anticipate a price correction through lower stock prices, but an alternative scenario could involve rising earnings, thereby moderating the price/earnings ratios.
Projections from brokerage analysts suggest that earnings growth might help align stock valuations with more conventional levels in the coming years. Yet, relying solely on these projections can be deceptive, especially in times of high uncertainty. As the tech landscape evolves rapidly, unforeseen events could alter the trajectory significantly.
While investing in US indices based on the transformative potential of AI technology seems appealing, the inherent risks warrant cautious evaluation. Financial markets, much like the technology they embrace, are dynamic and subject to constant change. In this ever-evolving landscape, the notion of mean reversion appears more fluid and abstract than a fixed principle.
So, as we navigate the complex world of finance and technology, remember that predicting the future is an elusive task. Embrace the uncertainty, stay informed, and make decisions thoughtfully to navigate the choppy waters of the financial markets.
