{"title":"Does firm-level political risk influence earnings management?","authors":"Jairaj Gupta, Narendra Nath Kushwaha, Xia Li, Tahera Ebrahimi","doi":"10.1007/s11156-024-01330-z","DOIUrl":null,"url":null,"abstract":"<p>This study diverges from mixed findings in the literature on political uncertainty and earnings management by reporting a significant positive association between the firm-level political risk (<i>FLPR</i>) measure proposed by Hassan et al. (Q J Econ 134(4):2135–2202, 2019) and both accrual-based and real earnings management. This aligns with the predictions of agency theory and the political cost hypothesis, indicating that firms exposed to higher political risk are more prone to heightened earnings manipulation. Additionally, we find that in the face of increased political risk, firms tend to substitute accrual-based earnings management with real earnings management, which is relatively harder to detect. This study further identifies a non-linear ‘U’-shaped association between <i>FLPR</i> and both accrual-based and real earnings management, suggesting significant manipulation at both low and high political risk levels, with the least manipulation at a moderate level. This non-linear association is primarily observed in firms that are smaller in size, pay lower abnormal compensation to their CEOs and are less likely to be monitored by lenders. Thus, emphasising the role of external monitoring mechanisms in driving the non-linear association between <i>FLPR</i> and earnings management.</p>","PeriodicalId":47688,"journal":{"name":"Review of Quantitative Finance and Accounting","volume":"7 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Quantitative Finance and Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11156-024-01330-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study diverges from mixed findings in the literature on political uncertainty and earnings management by reporting a significant positive association between the firm-level political risk (FLPR) measure proposed by Hassan et al. (Q J Econ 134(4):2135–2202, 2019) and both accrual-based and real earnings management. This aligns with the predictions of agency theory and the political cost hypothesis, indicating that firms exposed to higher political risk are more prone to heightened earnings manipulation. Additionally, we find that in the face of increased political risk, firms tend to substitute accrual-based earnings management with real earnings management, which is relatively harder to detect. This study further identifies a non-linear ‘U’-shaped association between FLPR and both accrual-based and real earnings management, suggesting significant manipulation at both low and high political risk levels, with the least manipulation at a moderate level. This non-linear association is primarily observed in firms that are smaller in size, pay lower abnormal compensation to their CEOs and are less likely to be monitored by lenders. Thus, emphasising the role of external monitoring mechanisms in driving the non-linear association between FLPR and earnings management.
期刊介绍:
Review of Quantitative Finance and Accounting deals with research involving the interaction of finance with accounting, economics, and quantitative methods, focused on finance and accounting. The papers published present useful theoretical and methodological results with the support of interesting empirical applications. Purely theoretical and methodological research with the potential for important applications is also published. Besides the traditional high-quality theoretical and empirical research in finance, the journal also publishes papers dealing with interdisciplinary topics.