Analysts' weighting of private and public information

• 成果类型: Article
• 署名作者: Chen, Q; Jiang, W
• 署名单位: Duke University; Columbia University
• 刊物名称: REVIEW OF FINANCIAL STUDIES
• ISSN/ISSBN: 0893-9454
• DOI: 10.1093/rfs/hhj007
• 发表日期: 2006
• 页码: 319
• 关键词: EARNINGS FORECASTS; underreaction; overreaction; tests

摘要

Using both a linear regression method and a probability-based method, we find that on average, analysts place larger than efficient weights on (i.e., they overweight) their private information when they forecast corporate earnings. We also find that analysts overweight more when issuing forecasts more favorable than the consensus, and overweight less, and may even underweight, private information when issuing forecasts less favorable than the consensus. Further, the deviation from efficient weighting increases when the benefits from doing so are high or when the costs of doing so are low. These results suggest that analysts' incentives play a larger role in misweighting than their behavioral biases.