Brian Feroldi
This chart does a great job illustrating a core principle of investing: short-term noise is largely unpredictable, while long-term fundamentals have some predictive power.
Here’s breakdown and commentary by AI.
The Big Picture: What This Chart Gets Right
The central message is sound. In the short run, markets are driven by sentiment, liquidity, and random events—none of which are consistently forecastable. In the long run, cash flows (revenue, profit, dividends) drive returns. That’s not just opinion; it’s backed by decades of academic finance.
Short-Term: Mostly "No" – And That’s Honest
Marking almost everything short-term as "No" is refreshingly realistic. Things like:
Media coverage, Fed news, CEO tweets, black swans – truly unpredictable in timing and market impact.
Insider buying/selling – often cited as a signal, but studies show it’s weak for short-term timing. Insiders sell for many reasons (diversification, liquidity), and buying can be opportunistic but not reliably front-runnable.
The only "Sort of" in short-term is Public Investor Presentation. That’s interesting. I’d argue it’s still mostly unpredictable, because how the market interprets the presentation depends on prevailing sentiment. But you could defend this: a clear guidance change or capital allocation plan can move a stock predictably if it’s a true surprise. Still, "sort of" feels generous.
Missing short-term factors that are somewhat predictable:
Seasonality (e.g., "Santa Claus rally," January effect) – weak but non-zero predictability.
Options expiry / rebalancing flows – these are scheduled and can cause short-term moves.
Earnings announcement dates – known in advance, though the direction isn’t.
But overall, the short-term column is a healthy antidote to the noise traders and pundits who pretend otherwise.
Long-Term: "Yes / Sort of" – Reasonable but Needs Nuance
Revenue and profit growth over many years are indeed the main drivers of stock returns. But the chart glosses over two key issues:
Valuation matters. You can have great profit growth but still lose money if you bought at an insane multiple (see: Cisco in 2000, many EVs in 2021). The chart doesn’t mention starting valuation – which is somewhat predictable in its long-term effect (high starting yields → lower future returns).
Growth itself isn’t perfectly predictable even long-term. Mean reversion in profitability is strong. Most high-growth companies slow down. So "Yes / Sort of" is fair – you can make reasonable forecasts, but they’re often wrong.
Dividends – yes, more predictable than price changes, but cuts happen. Dividend aristocrats are relatively stable, but not risk-free.
What’s Curious: Items That Stay "No" in Long-Term
The chart keeps Media Coverage, Short Seller Reports, Economic Data, Fed News, Insider trades, Guidance, Acquisitions as "No" in long-term as well. That’s mostly correct, but with a caveat:
Economic data – long-term trends (e.g., productivity growth, demographics) are somewhat predictable and matter for market returns. The chart seems to treat economic data as monthly releases, which is fair. But if they meant long-term economic trends, I’d argue "Sort of."
Acquisitions – long-term, most destroy value for acquirers. So predicting that an acquisition will help a stock is hard. Marking "No" is right.
A Subtle Inconsistency
The chart implies that short-term Public Investor Presentations are "Sort of" predictable, but long-term they become "No." That seems backwards. If a presentation reveals a credible 5-year plan, shouldn’t that be more informative for long-term? Possibly they mean: in the short run, a single presentation can trigger a move (predictably if it’s a big surprise), but over long time horizons, any single event gets washed out. That’s defensible.
Final Verdict
Usefulness: High – especially for newer investors who chase headlines or try to time Fed meetings. It’s a great visual reminder to focus on what’s actually forecastable.
Limitations: It’s binary in a gray world. "Sort of" does a lot of heavy lifting. Also, it ignores valuation and starting yield, which are among the most predictable long-term return drivers.
One-liner takeaway:
Stop trying to predict the unpredictable (short-term noise). Spend your energy on reasonable long-term forecasts of cash flows – and pay attention to what price you pay.
