Forecasting fund-related textual emotion trends on weibo: a time series study

HIGHLIGHTS

  • who: Sha Luo from the Politecnico di Milano, Italy Jagiellonian University have published the article: Forecasting fund-related textual emotion trends on Weibo: A time series study, in the Journal: (JOURNAL) of 16/Dec/2022
  • what: Because this paper focuses on a time series trend instead of constant, u00b5 as intercept is not presented in the Results section.
  • how: Using an auto-regressive integrated moving average model and vector auto-regressive model the results indicated that fund performance was a significant predictor of fear anger and surprise expressions on Weibo. A total of . . .

     

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