This paper examines the usefulness of Google Trends data for forecasting mortgage lending in the Czech Republic. While … significantly. In addition to forecasting performance evaluation, an experimental indicator of restrictively tight mortgage credit …

to forecast revisions. Third, we design a pseudo out-of-sample forecasting exercise and examine point and density …

This study attempts to assess the forecasting accuracy of Support Vector Regression (SVR) with regard to other … Gaussian kernel shows the best forecasting performance. The best predictions are obtained for longer forecast horizons, which … suggest the suitability of machine learning techniques for medium and long term forecasting. …

. Conversely, in countries where expectations show a smooth transition towards recession, ARIMA models show the best forecasting …

This study attempts to assess the forecasting accuracy of Support Vector Regression (SVR) with regard to other … Gaussian kernel shows the best forecasting performance. The best predictions are obtained for longer forecast horizons, which … suggest the suitability of machine learning techniques for medium and long term forecasting. …

for forecasting GDP growth at short-term horizons in the euro area. We discuss three sets of empirical results. First we … forecast revisions. Third we design a pseudo out of sample forecasting exercise and examine point and density forecast accuracy …

combine the best forecasting tools with the possibility of incorporating their own judgement. In this context, we provide …