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Stablecoin Collateral Models, DeFi Activity, and Velocity

Article Amberdata research

Summary

This overview compares how USDC, USDT, and DAI seek to maintain a dollar peg. It describes fiat reserves and issuer redemption for USDC and USDT, and over-collateralized crypto vaults and liquidation rules for DAI. The TerraUSD collapse illustrates the danger of relying on an algorithmic mint-and-burn design without substantial collateral. The article also explains stablecoins’ roles in DeFi trading, lending, and borrowing, and defines velocity as transaction activity relative to supply.

The later discussion reports stablecoin supply growth and summarizes deposits, borrows, withdrawals, and repayments using Amberdata data. It characterizes USDC deposits as having large outliers, USDT activity as including occasional high-value bursts, and DAI as showing large deposits but comparatively modest borrowing. These observations are descriptive; the supplied text gives limited detail on sampling, statistical methods, or causal inference. Its promised analysis of links between lending activity and Ethereum volatility is reserved for a later installment, so this part does not establish that relationship.

Key ideas

  • Fiat-backed stablecoins depend on issuer reserves and redemption, while DAI relies on on-chain collateral and protocol rules.
  • Over-collateralization and liquidation are intended to support DAI’s peg during declines in collateral value.
  • TerraUSD’s failure demonstrates risks in stabilization systems without robust backing.
  • Stablecoin velocity describes transaction volume relative to circulating supply.
  • The article summarizes lending activity metrics but does not establish their causal effect on Ethereum volatility.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.