"Dynamic Design of Overlapping NFT Auctions: From Theoretical Modeling to
Abstract
This study develops a dynamic model of NFT auction scheduling under overlapping conditions. By integrating bidder valuation theory, Poisson-based arrival processes, and inventory holding costs, we identify an optimal auction overlap rate that maximizes seller profit. Auction overlap creates a trade-off between maximizing bidder attention and minimizing time-based holding costs. Through simulation, we demonstrate that profit exhibits a concave relationship with overlap degree, confirming the existence of an interior optimum. Sensitivity analyses further reveal how holding costs influence the optimal auction spacing. Our findings offer practical guidelines for NFT sellers and platforms to design auction schedules that optimize profitability in attention-driven digital marketplaces.