Secrets of Stablecoin Stability: Why Some Maintain Value

Stablecoins have become a cornerstone of the cryptocurrency ecosystem, prized for their promise to maintain a steady value amid the market’s notorious volatility. Yet, not all stablecoins succeed in this mission—while some reliably hold their peg to traditional currencies like the US dollar, others have spectacularly collapsed, causing ripples across digital finance. Understanding the secrets of stablecoin stability is crucial for investors and users who rely on these digital assets for trading, payments, and savings.

The key to why some stablecoins maintain value while others falter lies in their underlying mechanisms, governance, and collateral frameworks. Whether backed by reserves of fiat currency, cryptocurrencies, or algorithms designed to balance supply and demand, the structure of each stablecoin dictates its resilience or vulnerability to market shocks. Exploring these differences reveals not only what keeps some stablecoins steady but also the risks that can lead others to lose their footing and collapse.

• $18 billion TerraUSD peak market capitalization before collapse in May 2022
• $45 billion USD Coin (USDC) fiat reserves as of mid-2026
• $80 billion Tether (USDT) collateral holdings in 2026
• $50 Approximate Ethereum gas fee per transaction during congestion in 2026

How do stablecoins maintain their value through collateralization?

Fiat-backed stablecoins

Stablecoins like USD Coin (USDC) maintain their value through full collateralization with fiat currency reserves held in bank accounts or equivalent instruments, enabling a 1:1 redemption with the US Dollar. As of mid-2026, USDC supports over $45 billion in fully reserved fiat assets, with monthly audits conducted by Grant Thornton LLP to ensure transparency and trust. Similarly, Tether (USDT) upholds its peg by backing tokens with a diversified portfolio exceeding $80 billion, including cash, short-term U.S. Treasury securities, and commercial paper. This mixture of liquid, low-risk assets provides immediate liquidity to redeem tokens at face value, thereby sustaining user confidence and market stability.

Collateral risks

While collateralization underpins stablecoin stability, risks arise when reserves contain illiquid or risky assets, which can compromise redemption guarantees during market stress. The Bank for International Settlements (BIS) highlighted in its 2025 report that exposure to credit risk in commercial paper or other non-cash holdings increases vulnerability to sudden value drops, potentially triggering depegging events. Failures often occur when issuers cannot liquidate these assets quickly or at expected values, undermining the promised 1:1 peg. Consequently, stablecoin frameworks emphasize:

• Reserve liquidity thresholds—cash or cash-equivalent assets must constitute a significant portion (e.g., over 70%) of total reserves
• Regular independent audits, such as monthly attestations by reputable firms like Grant Thornton LLP
• Asset diversification to balance risk, including U.S. Treasury securities and commercial paper

What mechanisms do algorithmic stablecoins use to preserve their peg?

Algorithmic supply adjustment

Algorithmic stablecoins preserve their peg primarily by dynamically adjusting their circulating supply through automated smart contracts that mint or burn tokens in response to price fluctuations. For example, TerraUSD (UST) used a mechanism involving its sister token, Luna, where users could exchange 1 UST for $1 worth of Luna and vice versa, incentivizing arbitrage to restore the 1:1 USD peg. Before its collapse in May 2022, UST had reached a market capitalization of approximately $18 billion. This approach relies on predefined supply thresholds, triggering token burns or issuances when the stablecoin’s price deviates beyond small margins, typically within a 1% to 2% range around its target price.

Market confidence dependency

Unlike collateral-backed stablecoins, algorithmic models lack direct asset reserves and depend heavily on market confidence and the perceived value of their native tokens to maintain stability. The incentive structure is designed to encourage holders to burn tokens and reduce supply when the stablecoin’s price falls, theoretically restoring the peg. However, the 2022 UST collapse exposed how these mechanisms can fail under severe market stress, as rapid depegging triggered a loss of confidence that led to a liquidity spiral and the collapse of both UST and Luna. Key factors influencing resilience include:

• Token burn incentives calibrated to react within a price deviation threshold of around 1%
• The market capitalization size, which for UST was $18 billion before failure
• Speed and reliability of smart contract execution amid blockchain network congestion

What are the common technical and transactional risks that threaten stablecoin stability?

Network congestion effects

Technical and transactional risks that threaten stablecoin stability include blockchain network congestion, which can delay critical minting and redemption transactions necessary to maintain the peg. A 2026 arXiv study on transaction processing risks highlights that when the underlying blockchain is congested, users face longer confirmation times, impairing the stablecoin’s ability to adjust supply swiftly. For example, Ethereum—one of the most common networks for stablecoins—has seen gas fees surge above $50 per transaction in early 2026, making routine redemptions prohibitively expensive and discouraging timely arbitrage. This situation undermines user confidence and can cause temporary deviations from the intended stablecoin price. Additionally, issuers’ inability to promptly redeem tokens due to these transactional bottlenecks disrupts market trust and exacerbates price volatility.

Smart contract vulnerabilities

Security flaws within stablecoin smart contracts represent another significant risk to stability. Exploitable bugs can lead to hacks or unauthorized token minting, dramatically affecting supply dynamics and investor confidence. In 2026, several high-profile stablecoin projects faced challenges due to vulnerabilities in their Ethereum-based smart contracts, where attackers exploited weaknesses to siphon funds or destabilize the peg. These risks are magnified if protocols lack rigorous audits or fail to implement standards such as the ERC-20 token security best practices. Ensuring robust code and rapid patching is essential to prevent exploits that could trigger sudden price collapses or loss of peg.

• Ethereum gas fees exceeding $50 per transaction as a congestion cost barrier
• Transaction confirmation delays of several minutes during peak network usage
• Use of audited smart contracts compliant with ERC-20 security standards
• Issuer redemption timeframes ideally under 24 hours to preserve market trust

Why do some stablecoins collapse despite their design, and what role does market contagion play?

Contagion from TerraUSD collapse

Some stablecoins collapse despite their design because their stability mechanisms can be overwhelmed by cascading market reactions, as demonstrated by the TerraUSD (UST) crash in May 2022. UST, an algorithmic stablecoin with a market capitalization near $18 billion before its failure, lost its 1:1 peg to the US dollar when its backing Luna token plummeted in value. According to a BEKK model analysis, this event triggered contagion effects, causing price declines in other stablecoins. The interconnectedness of the crypto market meant that the instability of UST spread rapidly to algorithmic and lightly collateralized stablecoins, exposing their vulnerabilities. Such contagion illustrates how technical collapse in one issuer’s mechanism can propagate through investor behavior and market linkages, undermining confidence across the stablecoin ecosystem.

Market confidence impact

Loss of confidence plays a critical role in stablecoin collapses, as investors tend to withdraw from multiple stablecoins simultaneously when trust erodes in one. This herd behavior amplifies instability, especially for stablecoins relying on algorithmic stabilization rather than full collateral reserves. For example, after UST’s depeg, trading volumes of competing stablecoins such as Terra’s competitors and other algorithmic models surged, reflecting investor flight to perceived safer assets. Regulatory uncertainty further fuels panic; increased scrutiny and regulatory proposals post-2022 have heightened fears about stablecoin resilience, accelerating sell-offs. Key factors that influence stability include:

• Collateralization level: Fully backed stablecoins maintain reserves equal to 100% of issued tokens, unlike UST’s algorithmic approach.
• Market cap thresholds: UST’s $18 billion market cap magnified contagion risks due to its size and prominence.
• Regulatory environment: Post-2022 regulatory actions increased compliance costs and market anxiety.

These elements combine to determine whether a stablecoin can withstand shocks or becomes vulnerable to collapse through contagion and confidence erosion.

What are the trade-offs and limitations in stablecoin designs regarding profitability and stability?

Profit vs. stability tension

Stablecoin issuers face a fundamental trade-off between generating profits and ensuring absolute price stability. To achieve profitability, many issuers allocate reserves into interest-bearing assets, often with some degree of credit or liquidity risk. For example, as noted by the BIS in their 2025 report, issuers may invest in corporate bonds or money market funds yielding between 2% and 5% annually, but this exposure inherently limits their ability to guarantee a perfect 1:1 peg to the US dollar at all times. During periods of market stress, such as in May 2022 when algorithmic stablecoins like TerraUSD (UST) collapsed, these vulnerabilities become especially pronounced, creating tension between maintaining stability and pursuing yield generation.

Design compromises

Different stablecoin models embody distinct trade-offs related to profitability and stability. Fiat-backed stablecoins such as Tether (USDT) and USD Coin (USDC) provide relatively strong stability due to direct reserves in cash or cash equivalents, but they rely heavily on trust in the issuer and must comply with evolving regulations like the 2024 U.S. Stablecoin Transparency Act. On the other hand, algorithmic stablecoins forgo actual reserves to offer scalability and decentralization, but they are prone to depegging and collapse, as evidenced by UST’s market cap crash from $18 billion to near zero in 2022. These trade-offs can be summarized as:

• Fiat-backed stablecoins: Stability through regulated reserves but dependent on issuer trust and regulatory compliance.
• Algorithmic stablecoins: Scalability and decentralization without reserves but high risk of loss of peg during market turbulence.
• Interest-generating reserve investments: Yield of 2–5% annually but introduce credit and liquidity risk limiting absolute stability guarantees.

Frequently asked questions

Key takeaways

• Fiat-backed stablecoins like USDC maintain stability via $45B in fully audited reserves.
• Algorithmic stablecoins such as TerraUSD failed due to reliance on market confidence and complex supply mechanisms.
• Transaction delays and smart contract risks can disrupt stablecoin pegs.
• Market contagion from one stablecoin collapse can destabilize others.
• Issuers face trade-offs between profitability and absolute peg stability.