-of-sample forecasting exercise, we find that both pooling and accounting for spatial effects helps to substantially improve the forecast …-of-sample forecasting of the growth rates of flats' prices and rents for the next six months is done. It shows that in most cities both …

even more pronounced at longer forecasting horizons (the forecast accuracy gain as measured by the root mean squared … spatial dependence structure into regional forecasting models, especially, when long-term forecasts are made. …

In this paper, we evaluate the forecasting ability of 115 indicators to predict the housing prices and rents in 71 … tested in a framework of a quasi out-of-sample forecasting. Its results are quite heterogeneous. No single indicator appears …

The use of large-dimensional factor models in forecasting has received much attention in the literature with the … model which is better suited for forecasting compared to the traditional principal components (PC) approach.We provide an … asymptotic analysis of the estimator and illustrate its merits empirically in a forecasting experiment based on US macroeconomic …

-sample forecasting regressions. The predictive power of the model stays high at longer horizons. The estimated factors are strongly …

variable selection and estimation in one step. We evaluate the forecasting accuracy of these estimators for a large set of …