Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This study uses experimental asset markets to investigate the effects of experience and common knowledge on a market's ability to adjust for optimistic forecast bias. As a baseline, we find that period-end prices reflect unbiased forecasts in markets with private information and inexperienced traders. With low bias forecasts, traders need experience before price adjusts for the bias. With high bias forecasts, traders need experience and public forecast releases before price adjusts for the bias. Overall, our findings provide insight into identifying conditions that are critical for the full revelation of biased, imperfect forecasts and provide direction for future theoretical work.