Algorithmic Stablecoin Stability
Algorithmic stablecoin stability relies on smart contracts to adjust the supply of tokens in response to price deviations, rather than holding 1:1 fiat reserves. These mechanisms use game theory and incentive structures to encourage arbitrageurs to bring the price back to the target.
If the price falls below the peg, the protocol might burn supply or issue secondary tokens to restore value. These systems are highly susceptible to feedback loops where a loss of confidence triggers a death spiral.
Because they lack physical collateral, their stability is entirely dependent on the robustness of their economic design and market trust. They are considered higher risk than fiat-backed stablecoins and are frequent subjects of research in behavioral game theory.
Understanding these dynamics is essential for identifying potential points of failure in decentralized finance.