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Neural Networks in Merger Arbitrage

The use of feed forward neural networks (FFNNs) in making merger arbitrage investment decisions proves effective, outperforming other models and increasing risk-standardized deal returns on average.

Featured in No. 46 on 24 Apr 2024 · 2 days after release

Released
22 Apr 2024
First featured
No. 46 · 24 Apr 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
3
Identifier
SSRN 4802998

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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