Taubman, D., Gleyzer, B., Yang, K., & Rassekh, F. (2024). Direct Fractional Auction. Department of Finance, Analytics, Risk, and Economics, Barney School of Business, University of Hartford.
This paper introduces a new auction mechanism, Direct Fractional Auction (DFA), designed to facilitate fractional ownership of indivisible assets like NFTs. The authors aim to address the limitations of existing NFT auction formats and traditional fractional ownership models by proposing a system that maximizes seller revenue while broadening investor participation.
The paper presents a theoretical framework for DFA, drawing upon concepts from auction theory, combinatorial optimization (specifically the Knapsack Problem), and blockchain technology. The authors detail the auction rules, the process of fractionalizing assets into fungible tokens, and the algorithm for determining auction winners based on bid price and timestamp to ensure a unique solution.
DFA presents a viable and potentially superior alternative to traditional auction formats and fractional ownership models, particularly for assets like NFTs. By leveraging blockchain technology and a novel auction design, DFA facilitates greater market efficiency, transparency, and accessibility for a wider range of investors.
This research contributes to the growing field of blockchain-based market mechanisms and offers a practical solution for the emerging trend of fractional ownership in digital assets. The DFA model has the potential to reshape how high-value, indivisible assets are bought, sold, and owned.
The paper primarily focuses on the theoretical framework of DFA. Future research could explore practical implementations, user experience, and market adoption of DFA in real-world scenarios. Additionally, investigating the legal and regulatory implications of DFA-based fractional ownership would be beneficial.
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by Dmitriy Taub... at arxiv.org 11-19-2024
https://arxiv.org/pdf/2411.11606.pdfDeeper Inquiries