Results 11 to 20 of about 3,470,211 (401)
Stock Price Prediction Using CNN-BiLSTM-Attention Model
Mathematics, 2023 Accurate stock price prediction has an important role in stock investment. Because stock price data are characterized by high frequency, nonlinearity, and long memory, predicting stock prices precisely is challenging.
Jilin Zhang, Lishi Ye, Yongzeng Lai
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A graph-based CNN-LSTM stock price prediction algorithm with leading indicators
Multimedia Systems, 2021 In today’s society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, savings, bank financial products, bonds ...
J. Wu +4 more
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Stock-Price Forecasting Based on XGBoost and LSTM
Computer systems science and engineering, 2022 Using time-series data analysis for stock-price forecasting (SPF) is complex and challenging because many factors can influence stock prices (e.g., inflation, seasonality, economic policy, societal behaviors).
Pham Hoang Vuong +4 more
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S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis
Connection science, 2021 Stocks price prediction is a current hot spot with great promise and challenges. Recently, there have been many stock price prediction methods. However, the prediction accuracy of these methods is still far from satisfactory.
Sheng-Hsiu Wu +3 more
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A stock price prediction method based on deep learning technology
International Journal of Crowd Science, 2021 Purpose Stock price prediction is a hot topic and traditional prediction methods are usually based on statistical and econometric models. However, these models are difficult to deal with nonstationary time series data.
Xu Ji, Jiachen Wang, Zhi-Hong Yan
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ESG Disclosures and Stock Price Crash Risk
Journal of Risk and Financial Management, 2021 In this study, we investigate the relationship between environmental, social, and governance (ESG) disclosures and stock price crash risk. A stock price crash is a dreadful event for market participants.
R. Murata, S. Hamori
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ESG Performance and Stock Price Volatility in Public Health Crisis: Evidence from COVID-19 Pandemic
International Journal of Environmental Research and Public Health, 2021 Unlike traditional financial crises, COVID-19 is a global public health crisis with a significant negative impact on the global economy. Meanwhile, the stock market has been hit hard, and corporate share prices have become more volatile.
Dongyi Zhou, Rui Zhou
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LSTM-based sentiment analysis for stock price forecast
PeerJ Computer Science, 2021 Investing in stocks is an important tool for modern people’s financial management, and how to forecast stock prices has become an important issue. In recent years, deep learning methods have successfully solved many forecast problems.
Ching-Ru Ko, Hsien-Tsung Chang
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Feverish Stock Price Reactions to COVID-19
The Review of Corporate Finance Studies, 2020 Market reactions to the 2019 novel coronavirus disease (COVID-19) provide new insights into how real shocks and financial policies drive firm value.
Stefano Ramelli, A. Wagner
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Stock Price Forecast Based on CNN-BiLSTM-ECA Model
Scientific Programming, 2021 Financial data as a kind of multimedia data contains rich information, which has been widely used for data analysis task. However, how to predict the stock price is still a hot research problem for investors and researchers in financial field ...
Yu Chen +7 more
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