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Bitcoin and Ether can decline at the same time because they share exposure to crypto-market risk. When investors become less willing to hold risky assets, they may reduce positions across the market. Interconnections between tokens, leveraged positions, funding stress and forced selling can then intensify the initial move. A simultaneous fall does not, by itself, prove that Bitcoin caused Ether’s decline, that Ether caused Bitcoin’s decline, or that the relationship will persist.
The two networks still serve different purposes. Bitcoin is primarily a monetary and settlement network, while Ether is the asset used to settle transactions and pay fees on Ethereum. Their prices can respond to a common market shock even while their underlying functions and asset-specific risks remain different.
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The basic mechanism: one market, several transmission channels
A crypto-wide decline usually develops through overlapping channels rather than one simple cause. A useful way to analyze an episode is to separate the initial shock from the mechanisms that spread and amplify it.
1. A common shock changes risk appetite
A sudden event or a change in expectations can make investors less willing to hold volatile assets. The New York Fed describes a crypto ecosystem in which valuation pressures and common sources of risk can affect many assets at once. If investors are reducing overall crypto exposure, selling Bitcoin and Ether together is a natural portfolio response, even when neither network has experienced a new technical problem.
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Broader financial conditions can have the same effect. An International Monetary Fund analysis found that volatility correlations between crypto assets and major U.S. equity indexes were about four to eight times higher in January 2020–November 2021 than in January 2017–December 2019. The comparison covered Bitcoin and Ether against the S&P 500, Nasdaq and Russell 2000. It suggests that crypto became more closely connected with traditional risk assets during that period, possibly alongside greater adoption and easier financial conditions. It is a historical, period-bounded result—not a permanent or current estimate.
2. Spillovers transmit the move across tokens
Crypto assets are linked through trading venues, collateral arrangements, investor portfolios and shared sources of liquidity. A large move in one major asset can therefore affect risk management and valuations elsewhere. The Chicago Fed’s historical connectedness analysis found that common components and spillovers accounted for a substantial share of price variation in its samples.
Its connectedness index ranged from 86% to 97% under different specifications, sample sizes and time windows, where 100% represented maximum connectedness. That figure is a market-wide measure, not a pairwise Bitcoin–Ether correlation. The same analysis estimated Bitcoin’s directional spillover to other currencies at about 10%; its table reported index values of 10.3 for Bitcoin and 9.8 for Ethereum. Those figures describe historical directional connectedness in the study’s framework. They are not percentages of current-day Bitcoin-to-Ether causation.
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3. Leverage turns a decline into forced selling
Borrowed money magnifies both gains and losses. When prices fall, a leveraged trader may have to add collateral, reduce a position or close it. If many traders face that problem at once, their required selling can push prices lower, creating more losses and more forced sales.
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The New York Fed and Federal Reserve Board authors summarized the mechanism this way: “In addition, the use of leverage by crypto investors appears widespread, amplifying investors’ exposure to shocks to crypto-asset prices and the feedback loop between leverage and crypto-asset prices.” Leverage is an amplification mechanism, not proof that liquidations caused any particular present-day decline.
4. Funding withdrawals can pressure intermediaries
Crypto intermediaries may need to sell assets when lenders, depositors or other funding sources withdraw support. A funding squeeze can therefore spread beyond the accounts that took the original loss. This channel is especially important when the same firms, pools of collateral or trading venues have exposure to both Bitcoin and Ether. It explains how an initially limited shock can become a broader market event without requiring one asset to directly “drag” the other down.
Why Bitcoin and Ether can move together despite different functions
Bitcoin and Ether are not interchangeable assets. Bitcoin’s network is designed around its own monetary and settlement system. Ether is required to pay transaction fees and settle activity on Ethereum. Their economic uses, issuance arrangements, software development and asset-specific news can differ.
Price, however, reflects more than network utility. Both assets are traded as liquid crypto investments, appear in diversified portfolios and can be used as collateral. Investors who manage risk at the portfolio level may sell both when they want less crypto exposure. Market makers may also reduce inventories across major tokens when volatility rises. Those portfolio and liquidity decisions can produce synchronized returns even while the networks’ long-term fundamentals diverge.
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Does Bitcoin falling make Ethereum fall?
Sometimes a Bitcoin move is part of the information that reaches Ether’s market, but co-movement alone cannot establish one-way causation. To claim that Bitcoin caused a particular Ether decline, an analyst would need evidence about timing, the information available to traders, the size and direction of spillovers and any competing catalyst affecting Ethereum.
The Chicago Fed’s conclusion is deliberately broader: “These strong spillovers could be the results of aggregate or common shocks influencing the market as a whole.” That interpretation supports a market-wide explanation without assigning every Ether move to Bitcoin. In a fast market, both assets may be reacting to the same event within seconds, making a simple “first mover” story unreliable.
What the historical figures do—and do not—show
| Source and period | Measure | What it supports | What it does not establish |
|---|---|---|---|
| Federal Reserve Bank of Chicago, 2022; historical crypto samples | Connectedness index of 86%–97%; Bitcoin directional spillover about 10%; table values 10.3 for Bitcoin and 9.8 for Ethereum | Crypto prices have shown substantial common and spillover components in the sampled periods. | A current Bitcoin–Ether pairwise correlation, or a claim that Bitcoin causes every Ether move. |
| International Monetary Fund, 2022; January 2017–December 2019 versus January 2020–November 2021 | Crypto volatility correlations with the S&P 500, Nasdaq and Russell 2000 were about four to eight times higher in the later period. | Crypto’s relationship with major equity-market volatility strengthened in that historical comparison. | A direct Bitcoin–Ether price-return correlation or a permanent relationship with stocks. |
| Federal Reserve Bank of New York, published November 2024; data analysis closes June 2023 | Bitcoin fell by more than 70% after its November 2021 peak; similar-magnitude declines followed earlier peaks. | Crypto assets have experienced severe historical drawdowns, and leverage can amplify shocks. | A forecast, a description of today’s price or proof that leverage caused a specific decline. |
Correlation also depends on the statistic used. A price-return correlation asks whether daily or weekly returns tend to have the same sign and size. A volatility correlation asks whether the magnitude of movements rises and falls together. A connectedness or spillover measure estimates how shocks are distributed across a system. These measures answer different questions and should not be substituted for one another.
How to analyze a particular two-asset selloff
When Bitcoin and Ether are both down, use the following sequence before deciding what happened:
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- Define the window. Record the exact start and end times, exchange or reference prices, currency and time zone. A one-hour move can tell a different story from a monthly decline.
- Check whether the move is market-wide. Compare other large crypto assets and relevant risk markets. Broad weakness points toward a common shock or liquidity response; isolated weakness points toward an asset-specific explanation.
- Separate returns from volatility. Note whether both assets simply lost value, whether their intraday ranges expanded, or both. Do not use an equity-volatility statistic as if it were a Bitcoin–Ether return correlation.
- Establish event timing. Identify dated announcements, outages, policy news or market disruptions that were public before the move. A price chart alone cannot establish which event mattered.
- Look for amplification evidence. Funding-rate changes, margin calls, collateral requirements, open-interest reductions or documented forced sales can support a leverage explanation. Without such evidence, describe liquidation as a possible mechanism rather than a proven cause.
- Test the causal story. Ask whether Bitcoin moved first by a meaningful interval, whether Ether had its own catalyst and whether both could have been responding to the same information. Near-simultaneous moves are consistent with a common shock.
- State the regime. Explain whether the observation comes from a calm, highly leveraged or unusually liquid period. A coefficient calculated in one regime is not a live reading for another.
Common explanations and their limits
“The market is risk-off.”
This is a reasonable first hypothesis when many crypto assets decline together and financial conditions are tightening. It remains a hypothesis until the timing and breadth of the move are documented. Risk appetite can change for several reasons, and a broad label does not identify the initiating event.
“Bitcoin led the market.”
Bitcoin’s size and liquidity can make its move visible first, and historical studies find directional spillovers. But an observed lead is not automatically causal. Different trading hours, data frequencies, exchange pricing and latency can create an apparent lead even when a common shock drove both assets.
“Liquidations caused the crash.”
Leverage and forced selling can deepen losses, as the New York Fed explains. Yet reports of liquidations should be checked for the time period covered, the venues included and whether the figures represent executed sales, estimated liquidations or a broader loss measure. Amplification evidence does not identify the original shock.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minute“They always move together.”
They do not. Correlations vary with the sample, measurement method and market regime. A historical relationship can weaken, reverse or become less informative as market structure changes. Short time series also limit interpretation; LSEG and FTSE Russell have cautioned that limited observations make cross-asset correlation estimates especially uncertain.
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What simultaneous declines mean for a personal investor
A joint fall tells you that diversification within crypto may be limited during stressed periods. Holding both assets can reduce exposure to a single network’s asset-specific problem, but it does not remove shared market risk. In a broad selloff, portfolio losses can be larger than the investor expects from looking at each asset’s ordinary-day behavior.
Risk planning should therefore use stress scenarios rather than rely on a single correlation number. Consider how much of the portfolio could be lost if both positions fell sharply, whether any borrowing or collateral could trigger a forced sale, and whether cash needs might arise during a drawdown. Avoid treating a past connectedness estimate as a guarantee about the next episode.
What is established—and what is not
The historical evidence supports a structural explanation: common shocks, interconnected markets, changing risk appetite, leverage and funding pressure can make Bitcoin and Ether fall together. It does not provide an October 2026 live correlation estimate, identify a current catalyst or supply a current liquidation total. The New York Fed analysis was published in November 2024 but used data through June 2023; the Chicago Fed and IMF results likewise describe specified historical samples.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchFor a dated selloff, a sound explanation requires contemporaneous prices and primary, dated reporting about the catalyst, followed by an explicit distinction between what is observed, what is inferred and what remains unknown.
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