Abstract
Fluctuations of investor network public opinion information evolvement were adopted as the research object in this paper. By network information capture, text classification and sentiment scoring, etc., a comprehensive index was set for network public opinion fluctuations; furthermore, an EGARCH model was utilized to perform public opinion information fluctuation fitting. As indicated by fitting results, fluctuations of investor network public opinions exhibited some characteristics of volatility clustering and asymmetry, etc. so that they were more susceptible to impacts of negative news.
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