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China futures price forecasting based on online search and information transfer
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China futures price forecasting based on online search and information transfer (2022)China futures price forecasting based on …The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning (2021)The effect of green energy, g…Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM (2021)Forecasting Indonesia Exports…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models (2020)Stock Price Prediction Using …Gold volatility prediction using a CNN-LSTM approach (2020)Gold volatility prediction us…A new hybrid model for forecasting Brent crude oil price (2020)A new hybrid model for foreca…A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A CNN-LSTM-Based Model to For…The impact of Baidu Index sentiment on the volatility of China's stock markets (2019)The impact of Baidu Index sen…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…Carbon futures price forecasting based with ARIMA-CNN-LSTM model (2019)Carbon futures price forecast…Predicting the direction of stock markets using optimized neural networks with Google Trends (2018)Predicting the direction of s…Online big data-driven oil consumption forecasting with Google trends (2018)Online big data-driven oil co…Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market (2018)Financial news-based stock mo…Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer (2018)Crude oil price prediction mo…Google Trends and tourists' arrivals: Emerging biases and proposed corrections (2017)Google Trends and tourists' a…Is All That Talk Just Noise? 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References

  • 2004Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards2,369 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2020A CNN-LSTM-Based Model to Forecast Stock Prices564 cited
  • 2020Stock price prediction using deep learning and frequency decomposition373 cited
  • 2020Gold volatility prediction using a CNN-LSTM approach274 cited
  • 2018Online big data-driven oil consumption forecasting with Google trends236 cited
  • 2018Predicting the direction of stock markets using optimized neural networks with Google Trends201 cited
  • 2020Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models166 cited
  • 2018Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market154 cited
  • 2021The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning148 cited
  • 2019The impact of Baidu Index sentiment on the volatility of China's stock markets145 cited
  • 2018Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer139 cited
  • 2019Carbon futures price forecasting based with ARIMA-CNN-LSTM model137 cited
  • 2021Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM

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135 cited
  • 2017Google Trends and tourists' arrivals: Emerging biases and proposed corrections135 cited
  • 2020A new hybrid model for forecasting Brent crude oil price133 cited
  • Cited by

    • 2023Assessing the effect of green finance on energy inequality in China via household-level analysis61 cited
    • 2025Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps33 cited