Sentiment-Driven Statistical Modelling of Stock Returns over Weekends
We propose a two-stage statistical learning framework to investigate how financial news headlines posted over weekends affect stock returns. In the first stage, Natural Language Processing (NLP) techniques are used to extract sentiment features from news headlines, including FinBERT sentiment scores...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2025-08-01
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| Edice: | Computation |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2079-3197/13/8/201 |
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