Abstract
In current academic research and industry practice of data trading, the effectiveness of market mechanisms is often limited. This paper proposes a data trading mechanism based on data securitization. The mechanism separates data ownership from usage rights and securitizes the ownership, implementing pricing and matching transactions through a two-stage market mechanism involving concentrated pricing and free trading. Essentially, the trading mechanism constructed in this paper reshapes the pricing scenario in the price space formed between users and holders, reflecting the value perception of data by buyers, sellers, and the market in data prices. The paper utilizes reinforcement learning methods to simulate and validate the proposed mechanism, providing preliminary evidence of its practical operability and effectiveness.
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