Axioms for Automated Market Makers: A Mathematical Framework in FinTech and Decentralized Finance

Automated Market Makers (AMMs) are smart contracts that have emerged as a cornerstone of Decentralized Finance (DeFi), replacing traditional intermediaries for trading digital assets. However, the underlying principles, risks, and economic properties of these novel markets require a rigorous mathematical foundation. In “Axioms for automated market makers: A mathematical framework in fintech and decentralized finance,” Maxim Bichuch and Zachary Feinstein construct such a foundation. The authors propose a set of intuitive axioms for the utility functions that govern AMMs. From this framework, they characterize the resulting swap and pricing properties and define a novel measure of price impact to quantify and compare transaction costs across different AMM designs. The work also addresses practical issues by proposing a new fee structure that ensures indifference to transaction splitting and analyzing the critical risk of divergence loss for liquidity providers, offering a comprehensive guide for designing and analyzing these new financial technologies.

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Publication Details

Journal
Operations Research
Published
2025-12-17
DOI
https://doi.org/10.1287/opre.2022.0520
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
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article

Axioms for Automated Market Makers: A Mathematical Framework in FinTech and Decentralized Finance

Zachary Feinstein, Maxim Bichuch
1 citations
Operations Research
Blockchain Technology Applications and Security
3.25
article

Axioms for Automated Market Makers: A Mathematical Framework in FinTech and Decentralized Finance

Zachary Feinstein, Maxim Bichuch
article en
1 citations

Abstract

Automated Market Makers (AMMs) are smart contracts that have emerged as a cornerstone of Decentralized Finance (DeFi), replacing traditional intermediaries for trading digital assets. However, the underlying principles, risks, and economic properties of these novel markets require a rigorous mathematical foundation. In “Axioms for automated market makers: A mathematical framework in fintech and decentralized finance,” Maxim Bichuch and Zachary Feinstein construct such a foundation. The authors propose a set of intuitive axioms for the utility functions that govern AMMs. From this framework, they characterize the resulting swap and pricing properties and define a novel measure of price impact to quantify and compare transaction costs across different AMM designs. The work also addresses practical issues by proposing a new fee structure that ensures indifference to transaction splitting and analyzing the critical risk of divergence loss for liquidity providers, offering a comprehensive guide for designing and analyzing these new financial technologies.

Operations Research
Stevens Institute of Technology (US), University at Buffalo, State University of New York (US)
Openalex Percentile: Top 5%
Blockchain Technology Applications and Security
3.25
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