Forecasting U.S. Car Sales and Car Registrations in Japan: Rationality, Accuracy and Herding

We analyze forecasts of car sales in the U.S. and forecasts of car registrations in Japan. We document a substantial heterogeneity of forecasts, and we show that, based on traditional criteria, forecasts are neither rational nor unbiased. We also report that forecasters anti-herd, that is, forecasters seem to intentionally scatter their forecasts around a consensus forecast. We further show that cross-sectional
heterogeneity of forecasts with regard to anti-herding transmits onto cross-sectional heterogeneity of forecast accuracy. Specifically, we document that forecasters who herd provide more accurate forecasts than their colleagues who anti-herd.