Do accurate earnings forecasts facilitate superior investment recommendations?

• 成果类型: Article
• 署名作者: Loh, Roger K.; Mian, G. Mujtaba
• 署名单位: National University of Singapore; University System of Ohio; Ohio State University; Singapore Management University
• 刊物名称: JOURNAL OF FINANCIAL ECONOMICS
• ISSN/ISSBN: 0304-405X
• DOI: 10.1016/j.jfineco.2005.03.009
• 发表日期: 2006
• 页码: 455-483
• 关键词: earnings-based valuation models; EARNINGS FORECASTS; stock recommendations; SECURITY ANALYSTS

摘要

We find that analysts who issue more accurate earnings forecasts also issue more profitable stock recommendations. The average factor-adjusted return associated with the recommendations of analysts in the highest accuracy quintile exceeds the corresponding return for analysts in the lowest accuracy quintile by 1.27% per month. Our findings provide indirect empirical support for valuation models in the accounting and finance literatures (e.g., Ohlson, 1995) that emphasize the role of future earnings in predicting stock price movements. Our results also suggest that imperfectly efficient markets reward information gatherers, such as security analysts, for their costly activities in generating superior earnings forecasts. (c) 2005 Elsevier B.V. All rights reserved.