• Forecasting financial markets with semantic network analysis in the COVID-19 crisis 

      Fronzetti Colladon, Andrea; Grassi, Stefano; Ravazzolo, Francesco; Violante, Francesco (Peer reviewed; Journal article, 2022)
      This paper uses a new textual data index for predicting stock market data. The index is applied to a large set of news to evaluate the importance of one or more general economic-related keywords appearing in the text. The ...
    • Time-varying trend models for forecasting inflation in Australia 

      Guo, Na; Zhang, Bo; Cross, Jamie (Peer reviewed; Journal article, 2021)
      We investigate whether a class of trend models, which decompose a time series into an underlying trend and transitory component, with various error term structures can improve upon the forecast performance of commonly used ...