PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS?
Due to market volatility and complex regulations, forecasting stock price movements within the European banking sector is highly challenging. This study compares the predictive performance of Bidirectional Long Short-Term Memory (BiLSTM) and Long Short Term Memory (LSTM) with traditional mode...
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| Format: | Article |
| Language: | English |
| Published: |
“Victor Slăvescu” Centre for Financial and Monetary Research
2024-12-01
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| Series: | Financial Studies |
| Subjects: | |
| Online Access: | http://fs.icfm.ro/Paper02.FS4.2024.pdf |
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