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"Forecasting the 30-year U.S. Treasury Bond with a System of Neural Networks"
4 references·3 citing·22 second hop
"Forecasting the 30-year U.S. Treasury Bond with a System of Neural Networks" (2000)"Forecasting the 30-year U.S. Treasury Bo…Reminiscences of a Stock Operator (2012)Reminiscences of a Stock Oper…Stock price pattern recognition-a recurrent neural network approach (1990)Stock price pattern recogniti…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Bond rating: A non-conservative application of neural networks (1988)Bond rating: A non-conservati…The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR (2020)The industrial asymmetry of t…Learning approaches for developing successful seller strategies in dynamic supply chain management (2011)Learning approaches for devel…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Introduction to financial forecasting (1996)Neural network forecasting of the British Pound/US Dollar exchange rate (1998)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Modeling Supply Chain Dynamics: A Multiagent Approach* (1998)Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions (2003)Industrial Dynamics: A Major Breakthrough for Decision Makers (2012)Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Artificial intelligence in E-Commerce: a bibliometric study and literature review (2022)Time Series Analysis Forecasting and Control. (1971)Noise Trader Risk in Financial Markets (1990)Investor Psychology and Security Market Under‐ and Overreactions (1998)Forecasting with artificial neural networks: (1998)Financial time series forecasting using support vector machines (2003)Twitter mood predicts the stock market (2011)Disposition Effect and Firm Size: New Evidence on Individual Investor Trading Activity (2001)Socio-Technical Agency in Financial Markets (2006)Rational and Near‐Rational Bubbles Without Drift (2010)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)
this work references cited by second hop

References

  • 1990Stock market prediction system with modular neural networks656 cited
  • 1988Bond rating: A non-conservative application of neural networks268 cited
  • 1990Stock price pattern recognition-a recurrent neural network approach255 cited
  • 2012Reminiscences of a Stock Operator75 cited

Cited by

  • 2001Application of support vector machines in financial time series forecasting1,271 cited
  • 2011Learning approaches for developing successful seller strategies in dynamic supply chain management28 cited
  • 2020The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR27 cited

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