Fed Cleveland paper ties US crypto ownership to return beliefs, not demographics
A 2025 experiment found that showing Bitcoin’s past 12-month return lifted both desired allocations and later purchases.
A Federal Reserve Bank of Cleveland working paper argues that who owns crypto in the US is explained more by beliefs about future returns than by slow-moving demographic traits. In a randomized 2025 experiment, simply showing households Bitcoin’s prior 12-month return increased stated crypto allocations and subsequent buying, pointing to a retail return-chasing feedback loop that can sustain volatility.
Fed Cleveland’s Core Finding: Beliefs, Not Demographics, Drive Crypto Participation
A Federal Reserve Bank of Cleveland working paper, “Do You Even Crypto, Bro? Cryptocurrencies in Household Finance,” frames US crypto participation as a beliefs problem more than a demographics problem, using repeated surveys of as many as 25,000 US households per wave to measure ownership alongside expectations about returns and risk.
The paper’s central claim is mechanical and trader-relevant: expectations about crypto returns explain more of the variation in who owns cryptocurrency than observable characteristics such as age, income, and gender, even though those demographic skews still exist. In the authors’ setup, that matters because beliefs can move quickly after a rally, a headline, or a social-proof moment, while demographics do not.
The authors still find a distinctive investor profile after controls. People under 40 were 13 percentage points more likely to own cryptocurrency than those over 60, men were about 4 percentage points more likely than women, and higher-income and wealthier households were more likely to participate.
The Numbers Behind Belief Dispersion—and Why It Maps to Retail Flow
The survey results in the paper put hard numbers on how wide the belief gap is between owners and non-owners, and how much uncertainty sits underneath both groups. In a 2021 survey wave referenced in the paper, 87% of non-owners said they did not know what return to expect over the following year. Among crypto owners, 54% still said they did not know.
Among respondents willing to make a forecast, owners expected an average 22% return over the following year versus 7% among non-owners. Owners also tended to view crypto as less risky than non-owners did, which pairs with the return expectations to create a participation wedge that is hard to replicate in traditional assets.
The paper quantifies how tightly ownership tracks expected returns: a 1 percentage point increase in an individual’s expected crypto return was associated with a 0.8 percentage point increase in the probability of owning cryptocurrency. That sensitivity is the bridge from “belief dispersion” to “retail flow,” because it implies that shifts in expected returns can translate into participation changes without waiting for any demographic turnover.
The randomized experiment result pushes the argument from correlation into a causal channel that looks like classic retail reflexivity. In 2025, researchers randomly assigned households to receive information about Bitcoin, stocks, GameStop, or inflation. Participants shown Bitcoin’s previous 12-month return increased their desired crypto portfolio allocation by roughly 2 percentage points, about a 47% increase relative to the 4.3% desired allocation among the control group, and subsequent crypto purchases rose by about 2.5 percentage points.
The authors describe the mechanism plainly: “providing information about recent Bitcoin returns induces some households to start buying cryptocurrency.” The effect was concentrated among people who said they did not own crypto because they lacked sufficient information, while those who already believed crypto was a bad investment generally did not respond to the information treatment.
The paper also links crypto wealth to consumption in a way that reinforces the “episodic retail” framing. A doubling in BTC’s price made a household whose entire financial portfolio was in crypto 1.4 percentage points more likely to buy a durable good, roughly a 7% increase relative to the unconditional probability, but the effect did not persist into ordinary spending. The authors compare crypto gains to transitory windfalls, writing that they are treated more like “gambling income” than a permanent increase in wealth.
What Traders Should Watch If the Feedback Loop Is Real
The cleanest market-facing proxy for the paper’s mechanism is Bitcoin’s trailing 12-month return itself, and whether new highs coincide with renewed retail participation indicators like small-size exchange flows, app download rankings, or retail-heavy venue volumes.
A second signal is whether retail allocation intent moves in the same direction after large monthly BTC gains, consistent with the experiment’s roughly +2 percentage point jump in desired allocation after households were shown the prior 12-month return.
The volatility claim in the paper hinges on disagreement and learning, so it is also worth tracking whether belief dispersion appears to narrow into a single consensus narrative or widen into polarized expectations. The packet does not include the working paper’s robustness checks or subgroup breakdowns, so any follow-up releases that clarify regime dependence and stability of the information-treatment effect would change how confidently traders can map the result onto different market conditions.
My Read: Volatility as a Feature of Disagreement, Not a Temporary Phase
The filing-style detail people will misread here is the “demographics still matter” line, because it is true and still not the point. The paper’s own numbers say ownership is unusually elastic to expected returns, and the 2025 randomized information treatment shows that a simple past-return prompt can lift both stated allocation and realized buying, which is exactly the kind of retail reflexivity that keeps momentum trades alive longer than fundamentals alone would justify.
The threshold that matters is whether belief dispersion stays structurally wide, because the authors’ conclusion is explicit that “The absence of common information and beliefs about crypto across investors,” “suggests that price volatility will continue to be one of the most defining characteristics of this new asset for the foreseeable future.” If that holds, volatility is not a temporary phase to be arbitraged away, it is the market’s way of clearing persistent disagreement through price.
