---
title: Large Datasets and Hybrid Models
url: https://www.ml-quant.com/papers/repec/gam-jjrfmx-v-16-y-2023-i-6-p-298-d-1167483/
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:gam:jjrfmx:v:16:y:2023:i:6:p:298-:d:1167483
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F1911-8074%2F16%2F6%2F298%2Fpdf%3Bh%3Drepec%3Agam%3Ajjrfmx%3Av%3A16%3Ay%3A2023%3Ai%3A6%3Ap%3A298-%3Ad%3A1167483
featured: 2023-06-14
citations: unknown
topic: LLMs & Text
---


# Large Datasets and Hybrid Models

Study explores using machine learning and sentiment analysis to forecast foreign exchange rates and commodity prices.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.mdpi.com%2F1911-8074%2F16%2F6%2F298%2Fpdf%3Bh%3Drepec%3Agam%3Ajjrfmx%3Av%3A16%3Ay%3A2023%3Ai%3A6%3Ap%3A298-%3Ad%3A1167483
- Identifier: RePEc:gam:jjrfmx:v:16:y:2023:i:6:p:298-:d:1167483
- Released: 2023-06-14
- First featured: Quant Letter No. 4 (2023-06-14): https://www.ml-quant.com/issues/2023-06-14/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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