---
title: Stock Prediction News Headlines
url: https://www.ml-quant.com/papers/repec/kap-compec-v-64-y-2024-i-2-d-10-1007-s10614-023-10449-5/
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: RePEc:kap:compec:v:64:y:2024:i:2:d:10.1007_s10614-023-10449-5
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-023-10449-5%3Bh%3Drepec%3Akap%3Acompec%3Av%3A64%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s10614-023-10449-5
featured: 2024-09-25
citations: unknown
topic: LLMs & Text
---


# Stock Prediction News Headlines

This article discusses the application of machine learning and deep learning techniques to analyze financial news headlines, with the aim of identifying low volatility stocks that perform better than the Standard and Poor’s 500 Index.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Flink.springer.com%2F10.1007%2Fs10614-023-10449-5%3Bh%3Drepec%3Akap%3Acompec%3Av%3A64%3Ay%3A2024%3Ai%3A2%3Ad%3A10.1007_s10614-023-10449-5
- Identifier: RePEc:kap:compec:v:64:y:2024:i:2:d:10.1007_s10614-023-10449-5
- Released: 2024-09-25
- First featured: Quant Letter No. 67 (2024-09-25): https://www.ml-quant.com/issues/2024-09-25/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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