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Financial time series forecasting with multi-modality graph neural network · Study

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ArticleFinancial time series forecasting with multi-modality graph neural network

Dawei Cheng2021

Article2021

Financial time series forecasting with multi-modality graph neural network

Dawei Cheng · Fangzhou Yang · Sheng Xiang · Jin Liu

431 citations·0/0 files stored·Pattern Recognition

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Stock Market Forecasting Methods Time Series Analysis and Forecasting Advanced Graph Neural Networks

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References

1965The Behavior of Stock-Market Prices 2017Deep learning with long short-term memory networks for financial market predictions 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)2007Modelling Financial Time Series 2003Stock price reaction to news and no-news: drift and reversal after headlines 2003Support vector machine with adaptive parameters in financial time series forecasting 2008Robust performance hypothesis testing with the Sharpe ratio 1933Can Stock Market Forecasters Forecast?

Cited by

2022Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction 2024Data-driven stock forecasting models based on neural networks: A review 2022An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices 2023On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles 2023Harnessing LLMs for Temporal Data - A Study on Explainable Financial Time Series Forecasting

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Details

Year2021

Typearticle

Published2021-08-02

VenuePattern Recognition

ISSN-L0031-3203

Languageen

Citations431

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.patcog.2021.108218

openalex_workW3190469032

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2024Integrating sentiment analysis with graph neural networks for enhanced stock prediction: A comprehensive survey

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2022ML-GAT:A Multilevel Graph Attention Model for Stock Prediction