Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We develop two- and three-state regime switching models and test their forecasting ability for oil prices. We use the deviations of market oil price from fundamental values as the main explanatory variable in our models, while additional potential predictors enrich our specification. Our findings suggest that the regime-switching models are, in general, more accurate than the Random Walk model in terms of both statistical and economic evaluation criteria for oil price forecasts.