Showing 1 - 10 of 333
Evaluation of forecast optimality in economics and finance has almost exclusively been conducted on the assumption of mean squared error loss under which forecasts should be unbiased and forecast errors serially uncorrelated at the single period horizon with increasing variance as the forecast...
Persistent link: https://www.econbiz.de/10012736627
Persistent link: https://www.econbiz.de/10009358082
Forecast rationality under squared error loss implies various bounds on second moments of the data across forecast horizons. For example, the mean squared forecast error should be increasing in the horizon, and the mean squared forecast should be decreasing in the horizon. We propose rationality...
Persistent link: https://www.econbiz.de/10010606675
Persistent link: https://www.econbiz.de/10010606683
Persistent link: https://www.econbiz.de/10008706032
Persistent link: https://www.econbiz.de/10007761409
Persistent link: https://www.econbiz.de/10007897778
Persistent link: https://www.econbiz.de/10005532834
Evaluation of forecast optimality in economics and finance has almost exclusively been conducted on the assumption of mean squared error loss under which forecasts should be unbiased and forecast errors serially uncorrelated at the single period horizon with increasing variance as the forecast...
Persistent link: https://www.econbiz.de/10010744999
Forecast rationality under squared error loss implies various bounds on second moments of the data across forecast horizons. For example, the mean squared forecast error should be increasing in the horizon, and the mean squared forecast should be decreasing in the horizon. We propose rationality...
Persistent link: https://www.econbiz.de/10010690859