2020
DOI: 10.21272/mmi.2020.3-24
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Innovations in the Company’s Earning Management: The Case for the Czech Republic and Slovakia

Abstract: Earning management is a collection of managerial decision that results in not reporting the true short-term, value-maximizing earnings as known to management. It is focused on the changes in financial reporting to mislead the stakeholders and achieve contractual benefits. Earnings management emphasizes the manipulation of accounting choices and operating cash flows, and it is known as a practice which chooses an accounting treatment that is either opportunistic (maximizing the utility of management only) or ec… Show more

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Cited by 11 publications
(7 citation statements)
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References 67 publications
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“…These results imply that consequences from various accrual principles tend to be distinctive. Besides, the results contradict the implications of Kliestik et al (2020) about EM in the Czech Republic and Slovakia. However, the research findings highlight that Islamic banking performance in Iran follows the Kasznik (1999) model as the most efficient estimator of discretionary accruals.…”
Section: Iranian Islamic Bankingcontrasting
confidence: 75%
“…These results imply that consequences from various accrual principles tend to be distinctive. Besides, the results contradict the implications of Kliestik et al (2020) about EM in the Czech Republic and Slovakia. However, the research findings highlight that Islamic banking performance in Iran follows the Kasznik (1999) model as the most efficient estimator of discretionary accruals.…”
Section: Iranian Islamic Bankingcontrasting
confidence: 75%
“…The results of [24] not a statically significant relation between these variables, earnings managing is done globally not only in individual regions. [25] use the statistical sample of Slovak and Czech enterprises to reveal manipulation with earnings by the Kothari model and the Friedman non-parametric test. The study identifies the fact that the analysed countries tend to manipulate earnings upwards.…”
Section: Discussionmentioning
confidence: 99%
“…The assessment of the money laundering risk of financial institutions around the world implemented by gravity modeling based on the indices K1 -K10 in 2019, and the values of indices P1 -direct investment (equity) from around the world in the economy of the country; P2 -direct investment (equity) from the study country in the economies of the world; P3 -exports (million USD); P4 -imports (million USD) (Kliestik et al, 2020;Bilan et al, 2019).…”
Section: Risk Assessment By Gravity Modeling Methodsmentioning
confidence: 99%