---
title: Early Crash Signal (AE)
url: https://www.ml-quant.com/papers/ssrn/4930925/
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 4930925
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4930925
featured: 2025-11-19
citations: unknown
topic: Risk, Credit & Banking
---


# Early Crash Signal (AE)

The paper proposes a simple early-warning signal that watches hidden market patterns found by a neural network (an autoencoder); when those patterns start moving together it warns of systemic market risk, helping investors time sell-offs and improve returns.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4930925
- Identifier: SSRN 4930925
- Released: 2024-09-18
- First featured: Quant Letter No. 120 (2025-11-19): https://www.ml-quant.com/issues/2025-11-19/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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