首页|Study Findings on Machine Learning Are Outlined in Reports from School of Advanc ed Technology (Comparison of the Performance of Different Machine Learning Metho ds in Predicting VIX Volatility)
Study Findings on Machine Learning Are Outlined in Reports from School of Advanc ed Technology (Comparison of the Performance of Different Machine Learning Metho ds in Predicting VIX Volatility)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news originating from Suzhou, People’s Republic of China, by NewsRx correspondents, research stated, “As a matter of fact, index volatility has always been one of the key indicators of the state of an index a nd a reflection of investor confidence and expectations in the market.” Our news reporters obtained a quote from the research from School of Advanced Te chnology: “Among various indicators, the VIX, which is also known as the ‘Panic Index’, has always been viewed by the market as a barometer of the state of the economy. With this in mind, the purpose of this study is to investigate the proc ess of Random Forest, Support Vector Regression as well as XGBoost in predicting VIX volatility and to evaluate their performance. Based on the evaluations, exp eriments in this study show that XGBoost performs optimally for smaller, low-dim ensional time series data.”
School of Advanced TechnologySuzhouP eople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learnin g
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