论文标题

理性庞氏案游戏中的算法Stablecoin

Rational Ponzi Games in Algorithmic Stablecoin

论文作者

Fu, Shange, Wang, Qin, Yu, Jiangshan, Chen, Shiping

论文摘要

算法稳定菌(AS)是一种特殊类型的稳定类型,不受任何资产的支持(无侧支)。他们要彻底改变主权法定的运作方式。在实施的情况下,这些硬币在大多数情况下的稳定性较差,很容易偏离目标目标,甚至陷入灾难性的崩溃(又称死亡螺旋),因此被视为庞氏骗局。但是,这是整个图片吗?在本文中,我们试图揭示真理并澄清这样一个欺骗性的概念。我们发现,庞氏骗局基本上是一种财务协议,该协议向现有投资者支付了新的资金。但是,只要游戏可以永久滚动,就不一定意味着任何参与者都会失去任何参与者。经济学家称这种认识为\ textit {Rational Ponzi Game}。因此,我们在AS的背景下提出了一个理性的模型,并提出其保持条件。 We apply the model to examine: \textit{whether or not the algorithmic stablecoin is a rational Ponzi game.} Accordingly, we discuss two types of algorithmic stablecoins (\text{Rebase} \& \text{Seigniorage shares}) and dig into the historical market performance of two impactful projects (\text{Ampleforth} \& \ text {terrausd}分别展示了我们的模型的有效性。

Algorithmic stablecoins (AS) are one special type of stablecoins that are not backed by any asset (equiv. without collateral). They stand to revolutionize the way a sovereign fiat operates. As implemented, these coins are poorly stabilized in most cases, easily deviating from the price target or even falling into a catastrophic collapse (a.k.a. Death spiral), and are as a result dismissed as a Ponzi scheme. However, is this the whole picture? In this paper, we try to reveal the truth and clarify such a deceptive concept. We find that Ponzi is basically a financial protocol that pays existing investors with funds collected from new ones. Running a Ponzi, however, does not necessarily imply that any participant is in any sense losing out, as long as the game can be perpetually rolled over. Economists call such realization as a \textit{rational Ponzi game}. We thereby propose a rational model in the context of AS and draw its holding conditions. We apply the model to examine: \textit{whether or not the algorithmic stablecoin is a rational Ponzi game.} Accordingly, we discuss two types of algorithmic stablecoins (\text{Rebase} \& \text{Seigniorage shares}) and dig into the historical market performance of two impactful projects (\text{Ampleforth} \& \text{TerraUSD}, respectively) to demonstrate the effectiveness of our model.

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