PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS?

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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Bibliographic Details
Main Author: Bogdan Ionuț ANGHEL
Format: Article
Language:English
Published: “Victor Slăvescu” Centre for Financial and Monetary Research 2024-12-01
Series:Financial Studies
Subjects:
financial market
european banking sector
time series
prediction
Online Access:http://fs.icfm.ro/Paper02.FS4.2024.pdf
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