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Machine Learning Based Explainable Financial Forecasting
12 references·0 citing·49 second hop
Machine Learning Based Explainable Financial Forecasting (2022)Machine Learning Based Explainable Financ…Financial Forecasting with Machine Learning: Price Vs Return (2021)Financial Forecasting with Ma…Stock Closing Price Prediction using Machine Learning Techniques (2020)Stock Closing Price Predictio…How is Machine Learning Useful for Macroeconomic Forecasting? (2020)How is Machine Learning Usefu…Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement (2020)Evaluation of Tree-Based Ense…COVID-19 and the march 2020 stock market crash. Evidence from S&P1500 (2020)COVID-19 and the march 2020 s…THE EFFECT OF KERNEL VALUES IN SUPPORT VECTOR MACHINE TO FORECASTING PERFORMANCE OF FINANCIAL TIME SERIES (2019)THE EFFECT OF KERNEL VALUES I…Indian stock market prediction using artificial neural networks on tick data (2019)Indian stock market predictio…Evaluating the Performance of Machine Learning Algorithms in Financial Market Forecasting: A Comprehensive Survey (2019)Evaluating the Performance of…Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market? (2018)Which Artificial Intelligence…A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms (2018)A novel hybrid method of fore…Survey of stock market prediction using machine learning approach (2017)Survey of stock market predic…Natural language based financial forecasting: a survey (2017)Natural language based financ…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)Applications of deep learning in stock market prediction: Recent progress (2021)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)The Behavior of Stock-Market Prices (1965)Security Analysis and Portfolio Management. 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(1989)A Theory of Friendly Boards (2007)Financial markets under the global pandemic of COVID-19 (2020)Investor Rewards to Environmental Responsibility in the COVID-19 Crisis (2020)The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets (2021)The impact of COVID-19 on the stock market crash risk in China (2021)Permanent and Temporary Components of Stock Prices (1988)Deep learning with long short-term memory networks for financial market predictions (2017)Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable? (2022)WASPAS-based decision making methodology with unknown weight information under uncertain evaluations (2020)Picture fuzzy set and quality function deployment approach based novel framework for multi-criteria group decision making method (2021)The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach (2021)
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References

  • 2020COVID-19 and the march 2020 stock market crash. Evidence from S&P1500726 cited
  • 2020Stock Closing Price Prediction using Machine Learning Techniques673 cited
  • 2017Natural language based financial forecasting: a survey419 cited
  • 2019Indian stock market prediction using artificial neural networks on tick data271 cited
  • 2020Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement245 cited
  • 2017Survey of stock market prediction using machine learning approach214 cited
  • 2018A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms146 cited
  • 2018Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?124 cited
  • 2019THE EFFECT OF KERNEL VALUES IN SUPPORT VECTOR MACHINE TO FORECASTING PERFORMANCE OF FINANCIAL TIME SERIES86 cited
  • 2021Financial Forecasting with Machine Learning: Price Vs Return54 cited
  • 2020How is Machine Learning Useful for Macroeconomic Forecasting?41 cited
  • 2019Evaluating the Performance of Machine Learning Algorithms in Financial Market Forecasting: A Comprehensive Survey29 cited

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