---
title: Machine Learning for Merger Arbitrage Takeover Failure Prediction
url: https://www.ml-quant.com/papers/ssrn/4504043/
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 4504043
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4504043
featured: 2023-07-12
citations: unknown
topic: Trading, Microstructure & Execution
---


# Machine Learning for Merger Arbitrage Takeover Failure Prediction

The study explores the use of feed forward neural networks (FFNNs) in making merger arbitrage investment decisions, highlighting the effectiveness of machine learning in predicting takeover failures and improving risk-standardized deal returns.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4504043
- Identifier: SSRN 4504043
- Released: 2023-07-08
- First featured: Quant Letter No. 7 (2023-07-12): https://www.ml-quant.com/issues/2023-07-12/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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