MANAGERIAL OVERCONFIDENCE, COMPENSATION INDUCED RISK TAKING, AND EARNINGS MANAGEMENT
Chun-An Li,
Tse-Mao Lin and
Yu-Wen Huang
The International Journal of Business and Finance Research, 2018, vol. 12, issue 2, 1-26
Abstract:
This study examined Taiwanese listed company and OTC (Over-the-Counter) firms to explore empirically managerial overconfidence and compensation incentives induced risk-taking, and the impact on accrualbased earnings management (AEM) and real earnings management (REM). The study results show that overconfident managers are more likely to adopt REM than AEM. Compensation induced Delta risk-taking is irrelevant to AEM but could lower the propensity for REM, and compensation induced Vega risk-taking could increase the magnitude of AEM but lower the magnitude of REM. These results remain robust after including interaction dummy between overconfidence and Delta risk-taking, and interaction dummy between overconfidence and Vega risk-taking for further analysis and Logistic Regression. In addition, this study also finds that overconfidence could mitigate the positive relationship between Vega risk-taking and AEM
Keywords: Risk-Taking; Earnings Management; Overconfidence; Compensation Incentive (search for similar items in EconPapers)
JEL-codes: G34 G41 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.theibfr2.com/RePEc/ibf/ijbfre/ijbfr-v12n2-2018/IJBFR-V12N2-2018-1.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibf:ijbfre:v:12:y:2018:i:2:p:1-26
Access Statistics for this article
The International Journal of Business and Finance Research is currently edited by Terrance Jalbert
More articles in The International Journal of Business and Finance Research from The Institute for Business and Finance Research
Bibliographic data for series maintained by Mercedes Jalbert ( this e-mail address is bad, please contact ).