pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE …

whether Google Trends provides significant forecasting improvements over models without search data. Second, we assess whether … a high-frequency variable (weekly Google Trends) is more useful for accurate forecasting than a low-frequency variable …In this paper, we examine the usefulness of Google Trends data in predicting monthly tourist arrivals and overnight …

pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE …

markets. We analyze the respective forecasting accuracy and our results indicate that there exist substantial differences …

reflected in the forecasting capabilities of professional analysts: all in all, analysts are not in a position to beat naïve … environment, we analyse the forecasting behaviour of students experimentally, using a simulated currency series. Our results … indicate that a topically oriented trend adjustment behaviour (TOTA) is a general characteristic of human forecasting behaviour …

reflected in the forecasting capabilities of professional analysts: all in all, analysts are not in a position to beat native … environment, we analyse the forecasting behaviour of students experimentally, using a simulated currency series. Our results … indicate that a topically oriented trend adjustment behaviour (TOTA) is a general characteristic of human forecasting behaviour …

data using economic variables and Google online search data. An out-of-sample forecasting comparison with forecast horizons … 2014M6. Models including Google search data statistically outperformed the competing models for most of the car brands and …-of-sample forecasts, directional accuracy, the variability of Google data and additional car brands …