专题：Stock Market Forecasting Methods

This cluster of papers focuses on predicting stock market trends and movements using various techniques such as time series forecasting, neural networks, deep learning, support vector machines, sentiment analysis, and Twitter data. The research explores the application of these methods to financial time series data for stock market prediction.
最新文献
RNN-LSTM: From applications to modeling techniques and beyond—Systematic review

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Generalized Framework for Liquid Neural Network upon Sequential and Non-Sequential Tasks

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AI-Driven Financial Analysis: Exploring ChatGPT’s Capabilities and Challenges

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Multi-sentiment fusion for stock price crash risk prediction using an interpretable ensemble learning method

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The role of artificial intelligence in the decision-making process: a study on the financial analysis and movement forecasting of the world’s largest stock exchanges

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Implementation of deep learning models in predicting ESG index volatility

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Sparse transformer with local and seasonal adaptation for multivariate time series forecasting

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Enhancing financial time series forecasting in the shipping market: A hybrid approach with Light Gradient Boosting Machine

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Enhancing customer behavior prediction in e-commerce: A comparative analysis of machine learning and deep learning models

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Performance analysis of a blockchain process modeling: Application of distributed ledger technology in trading, clearing and settlement processes

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近5年高被引文献
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

article Full Text OpenAlex 4725 FWCI486.60959297

Time-series forecasting with deep learning: a survey

article Full Text OpenAlex 1355 FWCI137.64442665

Autoformer: Decomposition Transformers with Auto-Correlation for\n Long-Term Series Forecasting

preprint Full Text OpenAlex 1304 FWCI115.8460352

Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)

article Full Text OpenAlex 1131 FWCI0

Forecasting: theory and practice

article Full Text OpenAlex 714 FWCI142.3478683

Applications of deep learning in stock market prediction: Recent progress

article Full Text OpenAlex 598 FWCI81.99665627

Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis

article Full Text OpenAlex 593 FWCI109.07173374

An empirical survey of data augmentation for time series classification with neural networks

article Full Text OpenAlex 582 FWCI65.65466376

A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting

article Full Text OpenAlex 582 FWCI65.38752547

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

preprint Full Text OpenAlex 530 FWCI0