Mahi Sall, Advisor, Fintech-Bank Partnerships, Payments and Financial Inclusivity
January 25th, 2023
Vitalik Buterin | May 25, 2022
The recent LUNA crash, which led to tens of billions of dollars of losses, has led to a storm of criticism of "algorithmic stablecoins" as a category, with many considering them to be a "fundamentally flawed product". The greater level of scrutiny on defi financial mechanisms, especially those that try very hard to optimize for "capital efficiency", is highly welcome. The greater acknowledgement that present performance is no guarantee of future returns (or even future lack-of-total-collapse) is even more welcome. Where the sentiment goes very wrong, however, is in painting all automated pure-crypto stablecoins with the same brush, and dismissing the entire category.
What we need is not stablecoin boosterism or doomerism, but rather a return to principles-based thinking. So what are some good principles for evaluating whether or not a particular automated stablecoin is a truly stable one? For me, the test that I start from is asking how the stablecoin responds to two thought experiments.
First, the volcoin price drops. Then, the stablecoin starts to shake. The system attempts to shore up stablecoin demand by issuing more volcoins. With confidence in the system low, there are few buyers, so the volcoin price rapidly falls. Finally, once the volcoin price is near-zero, the stablecoin too collapses.
there is no genuine investment that can get anywhere close to 20% returns per year, and there is definitely no genuine investment that can keep increasing its return rate by 4% per year forever. There's basically two ways for a stablecoin that tries to track such an index to turn out:
But this also shows a deeper and more important fact about stablecoins: for a collateralized automated stablecoin to be sustainable, it has to somehow contain the possibility of implementing a negative interest rate, can be done in two ways:
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