---
title: Forecasting Returns with CNNs in Korea
url: https://www.ml-quant.com/papers/ssrn/5008629/
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 5008629
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5008629
featured: 2024-11-06
citations: unknown
topic: Econometrics & Forecasting
---


# Forecasting Returns with CNNs in Korea

A machine learning-based study successfully predicts short-term stock market trends in the Korean market, showcasing the potential of deep learning techniques in financial market predictability.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5008629
- Identifier: SSRN 5008629
- Released: 2024-11-04
- First featured: Quant Letter No. 73 (2024-11-06): https://www.ml-quant.com/issues/2024-11-06/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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