Most of what we believe to be true in the markets isn’t true. It takes a long time to accumulate enough observations of an effect that by the time we believe in it; it has often ceased to be true.

Most so-called market wisdom is really a collection of statements that are true just often enough to be dangerous. And this is more dangerous for experienced investors than for neophytes. If experience is synonymous with having learned myths, then that experience is detrimental, no matter how good it makes investors feel.

Some examples are:

• “Small caps lead in recoveries.”
• “Buy the dip.”
• “The market rewards patience.”
• “Value beats growth.”

Each of these works. Except when they don’t. They’re not wrong so much as conditionally true: valid under a certain regime, but completely wrong outside it.

That’s the trouble with markets. The laws keep changing. Naive investors tend to be paranoid about “alpha decay”, where their secret sauce is discovered by rest of the market. This happens but isn’t generally a problem for anyone who isn’t very actively trading. What is a far more common problem is that the market regime where their strategy works is no longer current.

Investors crave simplicity. They want rules. The problem is that most of these are statistical regularities stated as immutable truths. “Buy quality.” “Hold for the long term.” “Diversify.” Each of these ideas sounds like wisdom because it’s right on average or at least a lot of the time.

A truth that’s conditional on a regime like liquidity, policy stance, volatility or crowd positioning isn’t really a truth. It’s a description of what worked last time.

Examples of Conditional Truths

Let’s take a few favorites.

• Small caps lead in recoveries.

This is true when credit spreads are tightening and fiscal policy favors domestic firms. But it is false when inflation or rate pressure dominates.
It’s not a structural law. It’s just that smaller firms are more cyclical and typically more volatile. They rise faster when risk appetite returns and fall faster when it doesn’t.

• Buy the dip.

This was true in a liquidity-backed, QE-era regimes where every sell-off brought the Fed cavalry. But it is false in tightening cycles, energy shocks or wars.
The idea that the market “always comes back” is a sample-bias artifact: people who traded Japan in 1990 or tech in 2000 can’t repeat the slogan because they no longer manage money. It is like how real estate is meant to be a great investment. True in New York and San Francisco. Not true in Buffalo and Detroit.

• The market rewards patience.

It does, but only if you’re patient and right. If the regime changes while you wait, you will patiently lose money. Long-term investors often mistake duration of conviction for evidence of correctness.

• Value beats Growth

This is true after a growth bubble, early in an economic recovery or when there are rising (real) interest rates. But it is false in technology-driven periods. Value hasn’t done particularly well for a long time.

Why We Believe Them

• They used to work.
  • Markets are always changing and evolving but most investors don’t. Markets have cultural memory. A rule that made money for a generation becomes gospel, even after the conditions that birthed it vanish. Or to quote the physicist Max Planck, “A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die, and a new generation grows up that is familiar with it.”

• They moralize probability.
  • “Be patient.” “Be disciplined.” These are virtues, but markets aren’t moral systems. Being a good person is not necessarily rewarded.

• They feel empirical.
  • A chart of 100 years of data gives a comforting illusion of permanence. But every data point was drawn under a different institutional world: gold standard, fixed exchange, QE, crypto. Aggregating them into one “truth” is like averaging gravity from multiple planets.

This is all disappointing and somewhat nihilistic but, now that we know the problem, we can at least try to mitigate it. In each case, instead of memorizing market “rules,” ask three questions before acting on any aphorism:

1. Under what regime is this true?
2. What observable data define that regime? (Credit spreads, policy direction, volatility regime, real rates, etc.)
3. How quickly can I tell when it changes?

But a more robust approach would assume that even after this process, there is a chance that we are wrong. So don’t rely on any one signal. The markets are never all about one thing even if it is a big thing. Now for example we have a war (bad), high oil prices (bad), rising inflation (mixed) but good company earnings (good). Any model that looks at only one of these effects will be missing an important part of the puzzle.

Markets punish certainty, not ignorance. The investor who knows when a truth stops being true outlives the one who believes it unconditionally. The difference isn’t intelligence. It’s humility.
And that is the only rule that seems to hold across every regime.

Disclaimer

This document does not constitute advice or a recommendation or offer to sell or a solicitation to deal in any security or financial product. It is provided for information purposes only and on the understanding that the recipient has sufficient knowledge and experience to be able to understand and make their own evaluation of the proposals and services described herein, any risks associated therewith and any related legal, tax, accounting, or other material considerations. To the extent that the reader has any questions regarding the applicability of any specific issue discussed above to their specific portfolio or situation, prospective investors are encouraged to contact HTAA or consult with the professional advisor of their choosing.

Except where otherwise indicated, the information contained in this article is based on matters as they exist as of the date of preparation of such material and not as of the date of distribution of any future date. Recipients should not rely on this material in making any future investment decision.