首页|Investigators from Southwest Jiaotong University Target Machine Learning (Equati on Chapter 0 Section 1macro-driven Stock Market Volatility Prediction: Insights From a New Hybrid Machine Learning Approach)
Investigators from Southwest Jiaotong University Target Machine Learning (Equati on Chapter 0 Section 1macro-driven Stock Market Volatility Prediction: Insights From a New Hybrid Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reporting outof Chengdu, People’s Republic of China, by NewsRx editors, research stated, “This study comprehensivelyinvestig ates stock market volatility based on over one hundred monthly macroeconomic var iables, applyingmachine learning models. Methodological contribution integratin g the random forest (RF) with the leastabsolute shrinkage and selection operato r methods (LASSO).”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesFinance and InvestmentInvestment and Financ eMachine LearningSouthwest Jiaotong University
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