{"title":"The Effect of Language on Income Smoothing and on the Informativeness of Earnings: Cross-Country Evidence","authors":"Wenjiao Cao, Linda A. Myers, Zhifang Zhang","doi":"10.2139/ssrn.3312686","DOIUrl":null,"url":null,"abstract":"Using income smoothing and its two components – the informational component and the garbled component – we examine whether and how the time-oriented tendency embedded in languages influences corporate financial reporting decisions. Separating languages into weak- versus strong- future time reference (FTR) groups, we find that firms in weak-FTR countries tend to smooth earnings more. We also find that the informational component, rather than the garbled component, of income smoothing is stronger for firms in weak-FTR countries, indicating that income smoothing in weak-FTR countries enhances the informativeness of corporate earnings. These results are consistent with the ‘linguistically-induced bias in time perception’ mechanism of FTR, which suggests that language affects management’s future-related choices by changing how distant future events feel. Taken together, these findings provide new insights into how language influences corporate financial reporting decisions and the informativeness of earnings.","PeriodicalId":202877,"journal":{"name":"Cognitive Linguistics: Cognition","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Linguistics: Cognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3312686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Using income smoothing and its two components – the informational component and the garbled component – we examine whether and how the time-oriented tendency embedded in languages influences corporate financial reporting decisions. Separating languages into weak- versus strong- future time reference (FTR) groups, we find that firms in weak-FTR countries tend to smooth earnings more. We also find that the informational component, rather than the garbled component, of income smoothing is stronger for firms in weak-FTR countries, indicating that income smoothing in weak-FTR countries enhances the informativeness of corporate earnings. These results are consistent with the ‘linguistically-induced bias in time perception’ mechanism of FTR, which suggests that language affects management’s future-related choices by changing how distant future events feel. Taken together, these findings provide new insights into how language influences corporate financial reporting decisions and the informativeness of earnings.