Auctions with Tokens: Monetary Policy as a Mechanism Design Choice
Andrea Canidio
TL;DR
The paper analyzes a finite-horizon auction where bidders can pay with a token created by the designer, and the token supply is governed by a monetary policy. It shows that, in expectation, the present value of revenues is invariant to whether payments are in dollars or tokens, but token-based mechanisms can front-load revenues and reduce volatility, especially when tokens are burned. The equivalence with a dollar-based auction extends to the frictionless benchmark where the token-based mechanism is replicable by issuing equity, yet introducing non-contractible effort and revenue misappropriation creates a trade-off: tokens dominate under limited contracting, while dollar-based auctions with contingent securities perform better under richer contracting environments. The findings provide a theoretical justification for token burning in blockchain auctions, clarify when tokens should be viewed as securities, and highlight how monetary-policy design interacts with mechanism design to shape incentives and revenue risk.
Abstract
I study a repeated auction in which payments are made with a blockchain token created and initially owned by the auction designer. Unlike the ``virtual money'' previously examined in mechanism design, such tokens can be saved and traded outside the mechanism. I show that the present-discounted value of expected revenues equals that of a conventional dollar auction, but revenues accrue earlier and are less volatile. The optimal monetary policy burns the tokens used for payment, a practice common in blockchain-based protocols. I also show that the same outcome can be reproduced in a dollar auction if the auctioneer issues a suitable dollar-denominated security. This equivalence breaks down with moral hazard and contracting frictions: with severe contracting frictions the token auction dominates, whereas with mild contracting frictions the dollar auction combined with a dollar-denominated financial instrument is preferred.
