Heteroscedasticity effects as component to future stock market predictions using RNNbased models
Heteroscedasticity effects are useful for forecasting future stock return volatility. Stock volatility forecasting provides business insight into the stock market, making it valuable information for investors and traders. Predicting stock volatility is a crucial task and challenging. This study prop...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Plos One
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/12363/1/J17815_074af7388a9327ccc9bec60f08812ab4.pdf http://eprints.uthm.edu.my/12363/ https://doi.org/10.1371/journal.pone.0297641 |
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