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improving the forecasts, given the local nature of the real-estate markets. The forecast accuracy of different predictors is … sample size, the combinations of individual forecast do not improve the forecast accuracy. On average, the forecast …
Persistent link: https://www.econbiz.de/10010238830
the forecasts, given the local nature of real-estate markets. The forecast accuracy of different predictors is tested in a … confidence at the national level, consumer confidence, and price-to-rent ratios. Even better forecast precision can be achieved … by combining individual forecasts. On average, the forecast improvements attain about 20%, measured by reduction in RMSFE …
Persistent link: https://www.econbiz.de/10011505867
approach is based on combination of the Cumulated Sum of Squared Forecast Error Differential (CSSFED) suggested earlier in …
Persistent link: https://www.econbiz.de/10011382631
distribution of the forecast errors made by the institutes, and then fit a skewed t-distribution to the estimated quantiles. We use … the resulting density forecasts to compute the log probability score of the predicted forecast errors. Based on an …
Persistent link: https://www.econbiz.de/10012285443
research institutes when they formed their forecasts helps to explain the ex-post realized forecast errors. We identify the … that several topics have predictive value for the forecast errors. …
Persistent link: https://www.econbiz.de/10012293435
possible to detect when using full-sample estimation information. On average, the forecast improvements attain about 20 …In this paper, we evaluate the forecasting ability of 145 indicators and ten types of forecast combination schemes to … facilitate substantial improvements of the forecasts, given the local nature of the real-estate markets. The forecast accuracy of …
Persistent link: https://www.econbiz.de/10010482020
effects helps substantially improve the forecast performance compared to the individual autoregressive models estimated for … even more pronounced at longer forecasting horizons (the forecast accuracy gain as measured by the root mean squared … forecast error is about 9% at 1-year horizon and exceeds 40% at 5-year horizon). Hence, we strongly recommend incorporating …
Persistent link: https://www.econbiz.de/10012039490
This paper documents a comparative application of algorithms to deal with the problem of missing values in higher frequency data sets. We refer to Swiss business tendency survey (BTS) data, in particular the KOF manufacturing surveys, which are conducted in both monthly and quarterly frequency,...
Persistent link: https://www.econbiz.de/10013472865
This paper documents a comparative application of algorithms to deal with the problem of missing values in higher frequency data sets. We refer to Swiss business tendency survey (BTS) data which are conducted in both monthly and quarterly frequency, where an information sub-set is collected at...
Persistent link: https://www.econbiz.de/10013482570
Swiss GDP. We find that the factor model offers a substantial improvement in forecast accuracy of GDP growth rates compared … to a benchmark naive constant-growth model at all forecast horizons and at all data vintages. The largest forecast …
Persistent link: https://www.econbiz.de/10008728698