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 …

predict the dynamics of home rents and prices in the nearest future. In this paper, we evaluate the forecasting ability of 115 … framework of a quasi out-of-sample forecasting. Its results are quite heterogeneous. No single indicator appears to dominate all …

slack or oil price fluctuations, motivated by a novel interpretation of the forecasting implications of the workhorse open …

-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 …

-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 … ; forecasting ; dynamic panel model ; spatial autocorrelation ; German cities …

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 …

forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions … the algorithm in forecasting GDP growth 3- to 12-months ahead is assessed through simulations in pseudo-real-time for six …

the data achieves better out-of-sample forecasting performance across different time horizons than previously suggested …

profitability, a loan fee forecasting exercise demonstrates that a) loan fees are highly predictable out-of-sample, and b) expected …