The impact of financial performance and firm characteristics on earnings management: Case of Tunisian Companies

Author:

Theiri Saliha1ORCID,Kasraoui Naziha1,Bouzaiene Nesrine2ORCID

Affiliation:

1. Assistant Professor, Faculty of Economic Sciences and Management of Tunisia, Finance & Accounting Department, University El Manar

2. Ph.D., Faculty of Economic Sciences and Management of Tunisia, Finance & Accounting Department, University El Manar

Abstract

The purpose of this study is to test the effect of financial performance on earnings management, with the presence of a firm’s specific characteristics, in a non-credible financial information context such as Tunisia. A panel data approach, namely multiple regression analysis, was applied on a sample of 30 firms operating in different sectors and observed over the period 2012–2021. Two estimation methods, the fixed effects and random effects models, are used. To choose the best estimation method, the Breusch-Pagan and Hausman tests were used.The results indicate, on the one hand, the financial performance measured by Tobin’s Q and Marris’ ratio, positively affects earnings management. On the other hand, the variables of firm characteristics, such as financial leverage, asset structure, growth rate and sectoral affiliation, decrease earnings manipulation, and firm size and managers’ ownership have no effect on earnings management. This means that managers of Tunisian firms manipulate their results to improve the level of performance and their financial sate. This manipulation is driven by goals other than those observed in other contexts and related to the financial market. This finding contributes to the literature on the association between several features of earnings management and firm performance, with the effect of firm characteristics.

Publisher

LLC CPC Business Perspectives

Subject

Economics, Econometrics and Finance (miscellaneous),Economics and Econometrics,Finance

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3