---
title: Stock Index Prediction with Machine Learning
url: https://www.ml-quant.com/papers/repec/taf-raaexx-v-31-y-2024-i-4-p-618-637/
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:taf:raaexx:v:31:y:2024:i:4:p:618-637
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F16081625.2023.2215234%3Bh%3Drepec%3Ataf%3Araaexx%3Av%3A31%3Ay%3A2024%3Ai%3A4%3Ap%3A618-637
featured: 2024-07-10
citations: unknown
topic: ML & AI Methods
---


# Stock Index Prediction with Machine Learning

The research uses sentiment analysis and machine learning to predict stock indexes, highlighting the impact of investor sentiment and exchange rates on the Shanghai Composite Index.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fhdl.handle.net%2F10.1080%2F16081625.2023.2215234%3Bh%3Drepec%3Ataf%3Araaexx%3Av%3A31%3Ay%3A2024%3Ai%3A4%3Ap%3A618-637
- Identifier: RePEc:taf:raaexx:v:31:y:2024:i:4:p:618-637
- Released: 2024-07-10
- First featured: Quant Letter No. 56 (2024-07-10): https://www.ml-quant.com/issues/2024-07-10/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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