首页|Study Findings from Central South University Advance Knowledge in Machine Learni ng (SF-Transformer: A Mutual Information-Enhanced Transformer Model with Spot-Fo rward Parity for Forecasting Long-Term Chinese Stock Index Futures Prices)
Study Findings from Central South University Advance Knowledge in Machine Learni ng (SF-Transformer: A Mutual Information-Enhanced Transformer Model with Spot-Fo rward Parity for Forecasting Long-Term Chinese Stock Index Futures Prices)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Changsha, People's Republic of China, by NewsRx correspondents, research stated, “The comp lexity in stock index futures markets, influenced by the intricate interplay of human behavior, is characterized as nonlinearity and dynamism, contributing to s ignificant uncertainty in long-term price forecasting. While machine learning mo dels have demonstrated their efficacy in stock price forecasting, they rely sole ly on historical price data, which, given the inherent volatility and dynamic na ture of financial markets, are insufficient to address the complexity and uncert ainty in long-term forecasting due to the limited connection between historical and forecasting prices.”
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