---
title: Improving Merger Arbitrage Returns with Machine Learning
url: https://www.ml-quant.com/papers/ssrn/4765067/
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 4765067
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4765067
featured: 2024-03-20
citations: 1
topic: Trading, Microstructure & Execution
---


# Improving Merger Arbitrage Returns with Machine Learning

Machine learning can enhance the profitability of merger arbitrage trades, offering valuable financial insights and substantial economic benefits for investors.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4765067
- Identifier: SSRN 4765067
- Released: 2024-03-19
- First featured: Quant Letter No. 41 (2024-03-20): https://www.ml-quant.com/issues/2024-03-20/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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