earnings forecasters, we see that small adjustments to the model forecasts lead to more forecast accuracy. Based on past track …

forecasts improves the forecast accuracy, and in particular new models with power transformations of weather forecast variables …

-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach …We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil …, estimation of time-varying forecast biases and facets of miscalibration of individual forecast densities and time-varying inter …

-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach …We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil …, estimation of time-varying forecast biases and facets of miscalibration of individual forecast densities and time-varying inter …

behavioral bias is strongly time-varying, and is linked to equity market sentiment and higher moments of the risk-neutral density … risk premium literature. …

against higher risk of detection by HFTs and being preyed on. …

This paper assesses the performance of a number of long-term interest rate forecast approaches, namely time series … is compared using out of sample forecast errors, where a random walk forecast acts as benchmark. It is found that for … approaches do not outperform the random walk, or a somewhat more sophisticated time series model, on a 3 month forecast horizon …