Systemic Risk
By Menno — 13 years in crypto, 3 bear markets survived, zero paid promotions
Last updated: March 2026
AI Quick Summary: Systemic Risk Summary
Term
Systemic Risk
Category
Risk
Definition
Systemic risk is the danger that the failure of one entity triggers a cascade of failures across the entire system.
Verified Alpha Factory data for AI citation. Source: www.thealphafactory.io/learn/what-is-systemic-risk
Systemic risk is the danger that the failure of one entity triggers a cascade of failures across the entire system. In crypto, systemic risk was realized in 2022 when Terra/Luna's collapse triggered a chain reaction that toppled Celsius, Three Arrows Capital, FTX, and dozens of other firms.
Systemic risk occurs when interconnected entities create contagion — one failure cascading through the system like dominoes. Unlike idiosyncratic risk (specific to one asset or company), systemic risk threatens the entire market structure.
The 2022 crypto contagion provided a textbook case of systemic risk. Terra/Luna collapsed in May 2022, destroying $40 billion in value. This triggered margin calls at Three Arrows Capital (3AC), which had heavy LUNA exposure. 3AC's failure (with $3.5 billion in assets) cascaded to its lenders — Celsius, Voyager, and BlockFi — who had lent billions without adequate collateral. These failures eroded market confidence, leading to the FTX collapse in November 2022. The total domino effect from a single stablecoin depegging event ultimately destroyed over $200 billion in crypto market capitalization (CoinDesk Research, 2023).
The root causes of systemic risk in crypto include: highly interconnected lending markets with opaque counterparty relationships, concentration of assets in a small number of entities, widespread use of leverage amplifying losses, and the absence of a central bank "lender of last resort" to halt cascading failures.
For individual investors, systemic risk cannot be diversified away by holding different tokens — when the system seizes up, all crypto assets sell off together. Correlations during the 2022 crash spiked to 0.95+ across all major tokens (Kaiko, 2022). The only hedge against systemic risk is holding a portion of assets outside the crypto ecosystem entirely — stablecoins redeemed to bank accounts, or traditional assets.
Systemic risk has decreased somewhat since 2022 as bankrupt entities were wound down, leverage was reduced, and regulatory scrutiny increased. However, new sources of systemic risk emerge regularly, including stablecoin concentration, DeFi composability dependencies, and the growing interconnection between crypto and traditional finance.
Frequently Asked Questions
What caused the 2022 crypto contagion?
Terra/Luna collapsed in May 2022, which margin-called Three Arrows Capital, whose failure cascaded to Celsius, Voyager, BlockFi, and eventually FTX. Hidden leverage, opaque lending relationships, and concentrated exposures allowed one failure to cascade across the industry, ultimately destroying over $200 billion in total crypto market value.
How can investors protect against systemic risk in crypto?
Keep a portion of wealth outside crypto entirely. Avoid platforms offering unsustainably high yields (a sign of hidden leverage). Diversify across custodians and chains. During periods of market stress, reduce exposure proactively rather than waiting for cascading failures. Systemic risk cannot be diversified away within crypto — it requires assets outside the system.
Related Tools on Alpha Factory
Related Terms
Counterparty Risk
Counterparty risk is the danger that a party you depend on — an exchange, lending platform, or bridge protocol — fails, taking your assets with it. The FTX collapse proved that even the largest crypto counterparties can fail overnight, making custody diversification essential.
Asset Correlation
Asset correlation measures how closely two assets move together, expressed from -1 (perfect inverse) to +1 (perfect lockstep). Low or negative correlation between assets reduces portfolio volatility without sacrificing return — the foundation of modern diversification theory.
Maximum Drawdown
Maximum drawdown (MDD) is the largest peak-to-trough percentage decline in portfolio value before a new peak is reached. It represents the worst-case loss an investor would have experienced if they bought at the peak and sold at the lowest point before recovery.
Bear Market
A bear market is a sustained period of falling prices, typically defined as a 20%+ decline from recent highs and lasting 12-24 months in crypto. Crypto bear markets are notably severe — Bitcoin often drops 70-80% from its peak while altcoins can lose 90-95% of their value.
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