Abstract A nonparametric method for comparing multiple forecast models is developed and implemented. The hypothesis of Optimal Predictive Ability generalizes the Superior Predictive Ability hypothesis from a single given loss function to an entire class of loss functions. Distinction is drawn...

Facing climate change, seasonal forecasts, and weather warnings are increasingly important to warn the public of the risk of extreme climate conditions. However, being confronted with inaccurate forecast systems may undermine individuals' responsiveness in the long run. Using an online...

Climate change is predicted to substantially alter forest growth. Optimally, forest owners should take these future changes into account when making rotation decisions today. However, the fundamental uncertainty surrounding climate change makes predicting these shifts hard. Hence, this paper...

We ask various experts, who produce sales forecasts that can differ from earlier received model-based forecasts, what they do and why they do so. A questionnaire with a range of questions was completed by no less than forty-two such experts who are located in twenty different countries. We...

We study the performance of sales forecasts which linearly combine model-based forecasts and expert forecasts. Using a unique and very large database containing monthly model-based forecasts for many pharmaceutical products and forecasts given by thirty-seven different experts, we document that...

Extensive empirical studies on the rationality of expectations as defined by Muth have revolved around tests on a single series of forecast data, with results differing widely across studies. Rationality as an assessor characteristic has long been of interest in economic theory and practice....

The majority of studies on market orientation claim that compelling evidence exists that market orientation has a positive effect on business performance. This study takes a closer look at forty studies that have addressed the relationship between market orientation and business performance in...

Out-of-sample tests are subject to look-ahead bias when a forecaster constructs a model using an intuition derived from empirical patterns in the test sample. Even if model parameters are estimated without the test sample, information from it affects a forecaster's model choice. Since such...

How do we generate accurate predictions about the timely advancement of clinical trials? We report the methods and results of the first study comparing machine modeling and human crowdsourcing methods in clinical trial prediction. The study spans two 6-month tournaments that focus on trial phase...