---
title: Learning from DeFi: Would Automated Market Makers Improve Equity Trading?
url: https://www.ml-quant.com/papers/ssrn/4531670/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4531670
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4531670
featured: 2023-08-09
citations: 17
topic: Crypto & DeFi
---


# Learning from DeFi: Would Automated Market Makers Improve Equity Trading?

The study suggests that optimally designed automated market makers could potentially save U.S. investors billions in transaction costs each year.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4531670
- Identifier: SSRN 4531670
- Released: 2023-08-04
- First featured: Quant Letter No. 11 (2023-08-09): https://www.ml-quant.com/issues/2023-08-09/
- Citations (Semantic Scholar): 17
- Published in: not yet
- Topic: Crypto & DeFi

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