The `Black Thursday' crisis in cryptocurrency markets demonstrated deleveraging risks in over-collateralized lending and stablecoins. We develop a stochastic model of over-collateralized stablecoins that helps explain such crises. In our model, the stablecoin supply is decided by speculators who optimize the profitability of a leveraged position while incorporating the forward-looking cost of collateral liquidations, which involves the endogenous price of the stablecoin. We formally characterize regimes that are interpreted as stable and unstable for the stablecoin. We prove bounds on the probabilities of large deviations and quadratic variation in the stable domain and distinctly greater price variance in the unstable domain. The unstable domain can be triggered by large deviations, collapsed expectations, or liquidity problems from deleveraging. We formally characterize a deflationary deleveraging spiral as a submartingale that can cause the system to behave in counterintuitive ways due to liquidity problems in a crisis. These deleveraging spirals, which resemble short squeezes, lead to faster collateral drawdown (and potential shortfalls) and are accompanied by higher price variance, as experienced on Black Thursday. We also demonstrate `perfect' stability results in idealized settings and discuss mechanisms which could bring realistic settings closer to such idealized stable settings.
翻译:隐形货币市场的“黑色星期四”危机显示了过度抵押贷款和稳定币的去杠杆化风险。我们开发了一种超抵押型稳定币的随机模型,有助于解释这些危机。在我们的模式中,稳定币供应是由投机者决定的,他们优化了杠杆地位的利润,同时纳入了抵押清算的前瞻性成本,这涉及到稳定币的内价。我们正式描述被解释为稳定币稳定和不稳定的制度。我们证明,在稳定区存在大规模偏差和二次波动的概率,不稳定区存在明显更大的价格差异。不稳定领域可能因大幅偏差、预期崩溃或去杠杆化的流动性问题而触发。我们正式将通缩式通缩式螺旋式螺旋式螺旋式反应为可导致系统因危机中流动性问题而采取反直觉行为的一种子座。这些与短期挤压相似的去杠杆式螺旋式螺旋式螺旋式螺旋式反应会导致更快速的抵押减缩(和潜在亏损),并伴随着不稳定区间明显更大的价格差异。我们也可以在更理想的环境下进行更接近于黑色稳定的局面的讨论。我们也可以在更接近于最接近于理想的场合上讨论。