License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.Tokenomics.2022.4
URN: urn:nbn:de:0030-drops-184217
Go to the corresponding OASIcs Volume Portal

Danos, Vincent ; Wang, Weijia

Consistency of Automated Market Makers

OASIcs-Tokenomics-2022-4.pdf (1 MB)


Decentralised Finance has popularised Automated Market Makers (AMMs), but surprisingly little research has been done on their consistency. Can a single attacker extract risk-free revenue from an AMM, regardless of price or other users' behaviour? In this paper, we investigate the consistency of a large class of AMMs, including the most widely used ones, and show that consistency holds.

BibTeX - Entry

  author =	{Danos, Vincent and Wang, Weijia},
  title =	{{Consistency of Automated Market Makers}},
  booktitle =	{4th International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2022)},
  pages =	{4:1--4:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-274-7},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{110},
  editor =	{Amoussou-Guenou, Yackolley and Kiayias, Aggelos and Verdier, Marianne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-184217},
  doi =		{10.4230/OASIcs.Tokenomics.2022.4},
  annote =	{Keywords: Automated Market Makers, Decentralised Finance}

Keywords: Automated Market Makers, Decentralised Finance
Collection: 4th International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2022)
Issue Date: 2023
Date of publication: 24.07.2023

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI