from internet search queries performed on the search engine Google. The forecasting performance of the Google Inflation …, Survey of Professional Forecasters, and the Michigan Survey. While useful in developing models of forecasting inflation …

, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to …

Michigan Surveys of Consumers. While these measures have been useful in developing models of forecasting inflation, the data …

Gallup rating, obtained in June of the election year, as a significant indicator for forecasting the Presidential election …

This paper is a continuation of our earlier studies on short-term price forecasting of California electricity prices … forecasting accuracy than their Gaussian counterparts. Consequently, we limit the range of analyzed models to autoregressive time …

Regressive Fractionally Integrated Moving Average model which is based on Fractional Integration Approach) in forecasting daily …-of-sample forecasting performance. Besides, fractal markets hypothesis was examined and according to the findings, fractal structure was … network model had the best performance in out-of-sample forecasting based on the criteria introduced for calculating …