{"title":"盈余管理与盈余管理中的估计模型分析","authors":"Xiaohui Liu","doi":"10.20849/abr.v4i3.682","DOIUrl":null,"url":null,"abstract":"This paper analyzes critically the early and recent literature on earnings management. I summarize the motivations and estimation models for accrual earnings management and real earnings management. Specifically, I focus on estimation models in real earnings management which are developed by Vorst (2016), extending the original sample period. Cross-sectional analysis reveals that earnings management is detectable purely based on companies’ financial data. The analyses are of interest to investors, regulators, and researchers with respect to the identification and consequences of earnings management.","PeriodicalId":37159,"journal":{"name":"Asian Journal of Business Research","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Earnings Management and the Estimation Models in Earnings Management\",\"authors\":\"Xiaohui Liu\",\"doi\":\"10.20849/abr.v4i3.682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes critically the early and recent literature on earnings management. I summarize the motivations and estimation models for accrual earnings management and real earnings management. Specifically, I focus on estimation models in real earnings management which are developed by Vorst (2016), extending the original sample period. Cross-sectional analysis reveals that earnings management is detectable purely based on companies’ financial data. The analyses are of interest to investors, regulators, and researchers with respect to the identification and consequences of earnings management.\",\"PeriodicalId\":37159,\"journal\":{\"name\":\"Asian Journal of Business Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Business Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20849/abr.v4i3.682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Business Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20849/abr.v4i3.682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Analysis of Earnings Management and the Estimation Models in Earnings Management
This paper analyzes critically the early and recent literature on earnings management. I summarize the motivations and estimation models for accrual earnings management and real earnings management. Specifically, I focus on estimation models in real earnings management which are developed by Vorst (2016), extending the original sample period. Cross-sectional analysis reveals that earnings management is detectable purely based on companies’ financial data. The analyses are of interest to investors, regulators, and researchers with respect to the identification and consequences of earnings management.