second survey-based factor, and the short term forecasting performance of the model in a pseudo-real time experiment. We find …. Moreover, the two factor model outperforms in terms of out of sample forecasting accuracy the traditional autoregressive …

limited to short-term predictions, the value of Google data for forecasting purposes is episodic, and the improvements in … forecasting accuracy are only modest. The results, obtained by (pseudo) out-of-sample forecast comparison, are robust to a state …

data on the forecasting performance of the model is assessed. The Google data is found to yield modest improvements in … forecasting accuracy of the model. To the author’s knowledge, this is the first time the forecasting performance of the Google … mode of the posterior distribution of the hyperparameters, and this is found to improve the out-of-sample forecasting …

In this report we document the ETLAnow project. ETLAnow is a model for forecasting with big data. At the moment, it …

have been shown to improve forecasting models for various economic and financial series. In the aftermath of the global … financial crisis, modeling and forecasting mortgage demand and subsequent approvals have become a central issue in the banking … number of new mortgage approvals and markedly improve their nowcasting and forecasting performance. …