用修正的琼斯模型分析工业公司指数康帕斯100的盈余管理实践

Azizah Defi Indriani, Pujiono Pujiono
{"title":"用修正的琼斯模型分析工业公司指数康帕斯100的盈余管理实践","authors":"Azizah Defi Indriani, Pujiono Pujiono","doi":"10.14414/TIAR.V11I2.2383","DOIUrl":null,"url":null,"abstract":"This study aimed to examine the issue of differences in earnings management patterns in companies listed on the Indonesia Stock Exchange (IDX). Earnings management can occur because company management wants to take advantage of accounting descriptions/policies under the character of the assets, existing in each of these industries. This study used a Modified Jones Model approach in determining earnings management proxies. Besides, it also used analysis of variance (ANOVA) to test whether there were differences in earnings management patterns. The data were consisted of 450 companies from 8 industrial sectors in the Kompas 100 Stock Index during 2015-2019. They were from various industries; essential and chemical industry; consumer goods; services; mining, oil, natural gas; plantation; property and real estate; and banking. The result shows that there are differences in earnings management patterns between industrial sectors. Therefore,  company management  practices earnings management following the characteristics of each industry. The research also suggests that the next study should analyze the comparison of earnings management with other models to determine the consistency of results.","PeriodicalId":33908,"journal":{"name":"Indonesian Accounting Review","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Earnings Management Practices Using the Modified Jones Model on the Industry Company Index Kompas 100\",\"authors\":\"Azizah Defi Indriani, Pujiono Pujiono\",\"doi\":\"10.14414/TIAR.V11I2.2383\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed to examine the issue of differences in earnings management patterns in companies listed on the Indonesia Stock Exchange (IDX). Earnings management can occur because company management wants to take advantage of accounting descriptions/policies under the character of the assets, existing in each of these industries. This study used a Modified Jones Model approach in determining earnings management proxies. Besides, it also used analysis of variance (ANOVA) to test whether there were differences in earnings management patterns. The data were consisted of 450 companies from 8 industrial sectors in the Kompas 100 Stock Index during 2015-2019. They were from various industries; essential and chemical industry; consumer goods; services; mining, oil, natural gas; plantation; property and real estate; and banking. The result shows that there are differences in earnings management patterns between industrial sectors. Therefore,  company management  practices earnings management following the characteristics of each industry. The research also suggests that the next study should analyze the comparison of earnings management with other models to determine the consistency of results.\",\"PeriodicalId\":33908,\"journal\":{\"name\":\"Indonesian Accounting Review\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indonesian Accounting Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14414/TIAR.V11I2.2383\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Accounting Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14414/TIAR.V11I2.2383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本研究旨在探讨印尼证券交易所(IDX)上市公司盈余管理模式差异的问题。盈余管理可以发生,因为公司管理层希望利用这些行业中存在的资产特征下的会计描述/政策。本研究采用修正的琼斯模型方法确定盈余管理代理。此外,本文还使用方差分析(ANOVA)来检验盈余管理模式是否存在差异。该数据由2015-2019年康帕斯100指数中8个行业的450家公司组成。他们来自不同的行业;必需品和化学工业;消费品;服务;采矿、石油、天然气;种植园;财产和不动产;和银行业。结果表明,不同行业的盈余管理模式存在差异。因此,公司管理层根据各行业的特点进行盈余管理。研究还建议,下一步的研究应该分析盈余管理与其他模型的比较,以确定结果的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Earnings Management Practices Using the Modified Jones Model on the Industry Company Index Kompas 100
This study aimed to examine the issue of differences in earnings management patterns in companies listed on the Indonesia Stock Exchange (IDX). Earnings management can occur because company management wants to take advantage of accounting descriptions/policies under the character of the assets, existing in each of these industries. This study used a Modified Jones Model approach in determining earnings management proxies. Besides, it also used analysis of variance (ANOVA) to test whether there were differences in earnings management patterns. The data were consisted of 450 companies from 8 industrial sectors in the Kompas 100 Stock Index during 2015-2019. They were from various industries; essential and chemical industry; consumer goods; services; mining, oil, natural gas; plantation; property and real estate; and banking. The result shows that there are differences in earnings management patterns between industrial sectors. Therefore,  company management  practices earnings management following the characteristics of each industry. The research also suggests that the next study should analyze the comparison of earnings management with other models to determine the consistency of results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
10
审稿时长
10 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信