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Research · Altcoins

DOGE measured against Bitcoin

Dogecoin was created as a joke and has behaved, at times, like one: its largest moves have followed attention rather than usage, and its supply grows without a cap. That makes it the hardest asset in this cluster to fit to a factor model, and the most useful test of whether a factor model was ever the right frame.

Last reviewed 2026-09-21Source: Dogecoin documentation and the project's published source, and CoinGecko historical price dataMechanism and supply descriptions only. No correlation, beta or return figure is asserted on this page.

Dataset, period, method and limitations

The supply and consensus descriptions come from Dogecoin's documentation and from its published source code, which is the authoritative statement of its rules. Daily closing prices for DOGE and BTC in US dollars come from CoinGecko's historical series.

The period runs from DOGE's first liquid market in 2013 to the most recent complete calendar year. The method is descriptive and deliberately qualitative in places: the page identifies episodes in which the ratio moved sharply, dates them, and states what was happening in the wider market at the time. It does not fit a factor model, and it does not claim that any episode had a single cause.

The limitations are the substance of this page rather than a footnote. DOGE's early history is thin and its venue set changed repeatedly, so the early series is less reliable than the recent one. More importantly, the asset's largest moves occurred during periods when the whole market was moving and when public attention to the asset was unusually high. Those two conditions are correlated with each other, which means the price record cannot separate them. A reader looking for a clean attribution will not find one here, because the data does not contain one.

A supply that grows without a cap

Dogecoin's supply rule is the opposite of Bitcoin's in the one respect that matters most for a monetary comparison. Bitcoin's issuance halves on a fixed schedule and converges on a fixed maximum. Dogecoin issues a fixed number of coins per block, indefinitely, with no halving and no cap. The result is a supply that grows linearly rather than converging, and an inflation rate that declines over time only because the denominator grows.

This is a design choice rather than an oversight, and it was made deliberately: a fixed per-block reward with no halving keeps the incentive to mine stable and avoids the long-run security-budget question that Bitcoin's declining subsidy raises. The security budget page sets out that question for Bitcoin. Dogecoin's answer is to keep paying miners at a constant rate forever.

The consequence for a comparison with Bitcoin is that the two assets have fundamentally different scarcity properties. Bitcoin's supply path is knowable to the block and bounded. Dogecoin's is knowable and unbounded. A reader who treats the two as comparable monetary assets is comparing a fixed stock with a growing one, and the supply schedule page explains the Bitcoin side of that contrast in detail.

The attention-driven episodes

Episodes in which DOGE's ratio to Bitcoin moved sharply, what was happening in the wider market, and why the record cannot attribute the move.
EpisodeWhat the record showsWhy attribution fails
Early yearsA long period of low, thin trading with occasional sharp movesThe venue set was small and changed often, so the series is not comparable across the period
The 2021 retail expansionA very large rise in the ratio, concentrated in a few weeksThe whole market expanded at the same time, and the asset's public profile rose with it
The broadcast episodeA further spike in the ratio around a period of unusually high public attentionAttention and market-wide risk appetite moved together; the two are not separable in the price data
The broad 2022 declineA fall in the ratio alongside every other large capThis is the one episode that looks like a common-factor move rather than an asset-specific one
Subsequent recoveryPartial expansion of the ratio during the recovery phaseConsistent with the rotation pattern, and therefore not distinctive to this asset

Last reviewed 2026-09-21Source: CoinGecko historical price series for DOGE and BTCEpisodes are dated from the daily series. No specific price level, percentage or forward-looking claim is made.

The table's third column is the point. In each episode, the asset-specific story and the market-wide story are simultaneous. The 2021 expansion was a period of broad speculative activity across every asset, and DOGE's public profile rose during it. A researcher who wanted to attribute the move to attention would need a measure of attention that is independent of the price, and a way to hold the market factor constant. Neither is available here.

The one episode that does look like a common-factor move is the 2022 decline, where DOGE fell alongside every other large cap and the ratio's behaviour was unremarkable. That is worth noting because it cuts against the attention story: if attention were the dominant driver, the asset should have behaved differently from its peers in the decline as well as in the advance. It did not.

The honest conclusion is that DOGE's record contains both asset-specific and market-wide components, that the two are entangled, and that the price data alone cannot separate them. This page reports that entanglement rather than resolving it.

Why the episodes resist factor explanation

A factor model tries to explain an asset's return as a combination of exposures to common sources of variation. For crypto assets, the dominant common factor is the market itself, usually proxied by Bitcoin. A model of that kind can explain a great deal of the variation in most large caps, because most large caps move with the market most of the time.

DOGE is the case where the model's residual is largest. Its sharpest moves are not explained by its exposure to the market, and the candidate explanation — attention — is not a variable that can be measured independently of the outcome. That is the definition of a problem for a factor model: the explanatory variable and the thing being explained are observed through the same channel. The return profiles page shows how Bitcoin's own return shape has changed across cycles, which is the kind of structural change a factor model also struggles with.

There is a broader lesson here that applies beyond this asset. A factor model is a description of co-movement, not a theory of causation. When an asset's moves are driven by something the model does not contain, the model does not become wrong; it becomes uninformative about that asset. DOGE is a useful reminder that the residual is where the interesting questions live, and that a large residual is a finding rather than a failure.

Sources and references

The supply and consensus rules are taken from Dogecoin's documentation and its published source. The price record and the episode dates are read from CoinGecko's historical series.

  • Dogecoin documentation. Dogecoin, Official site and documentation: the project's stated design and its relationship to Litecoin's codebase.
  • The supply rule. Dogecoin, dogecoin/dogecoin: the source that defines the fixed per-block reward and the absence of a halving.
  • Historical price series. CoinGecko, Dogecoin historical data and Bitcoin historical data: the daily USD series behind the episodes described above.
  • Bitcoin's supply rule, for contrast. Bitcoin Developer Reference, Block Chain: the halving schedule and the fixed maximum supply.
  • Return shapes across cycles. This site, Return Profiles: how Bitcoin's own return distribution has changed, and why a single-factor description is a simplification even for BTC.

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