{"title":"Can Executives Predict How Firm News Affects Stock Price?","authors":"Darren Bernard, Elsa Maria Juliani, A. Lawrence","doi":"10.2139/ssrn.3806033","DOIUrl":null,"url":null,"abstract":"More than 650 U.S. public company executives predict the stock price response to their quarterly financial reports and share their prediction after under a nondisclosure agreement. Despite having full knowledge of the reports before their release, executives’ estimates differ from realized returns by roughly 100% of the average absolute one-day response (i.e., 600 to 700 basis points) and are directionally wrong in one-third of cases. We do not find evidence that executives learn from the unexpected price movements; rather, executives profitably trade against the market the greater the prediction error. Greater error also reduces window dressing of financial information.","PeriodicalId":342161,"journal":{"name":"SPGMI: Compustat Fundamentals (Topic)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPGMI: Compustat Fundamentals (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3806033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
More than 650 U.S. public company executives predict the stock price response to their quarterly financial reports and share their prediction after under a nondisclosure agreement. Despite having full knowledge of the reports before their release, executives’ estimates differ from realized returns by roughly 100% of the average absolute one-day response (i.e., 600 to 700 basis points) and are directionally wrong in one-third of cases. We do not find evidence that executives learn from the unexpected price movements; rather, executives profitably trade against the market the greater the prediction error. Greater error also reduces window dressing of financial information.