In the literature of mitigating unfairness in machine learning (ML), many fairness measures are designed to evaluate predictions of learning models and also utilized to guide the training of fair m…
We examine the effects of asymmetric timeliness in reporting good versus bad news on price informativeness when prices provide useful information to assist firms’ investment decisions. We find th…