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Financial Statements Manipulations Using Beneish Model and Probit Regression Model. A Case of Banking Sector in Kenya

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dc.contributor.author Nyakarimi, Samuel N.
dc.contributor.author Kariuki, Samuel N.
dc.contributor.author Kariuki, Peter
dc.date.accessioned 2021-11-27T08:22:44Z
dc.date.available 2021-11-27T08:22:44Z
dc.date.issued 2020-03
dc.identifier.citation European Online Journal of Natural and Social Sciences 2020 Vol.9, No 1 pp. 253-264 en_US
dc.identifier.issn 1805-3602
dc.identifier.uri http://repository.embuni.ac.ke/handle/embuni/3900
dc.description.abstract The main objective of the study was to establish whether the banks in Kenya were involved in financial statement manipulations. The study involved all the banks registered and operating in Kenya and whose financial statements are published for public consumption. Beneish five-variable model was first used to categorize the banks as likely non-manipulators and likely manipulators. The probit regression model was used to determine non-manipulators and manipulators based on the averages derived from non-manipulators using Beneish five-variable model. The results obtained showed that 78.8% of all banks were not involved in financial statement manipulations while 21.2% were involved in financial statement manipulations. The study concluded that some banks that were involved in financial statement manipulations. The study recommended that both internal and control auditors should compute individual indices to determine whether the preparers of financial statements were involved in manipulations. Further it was recommended that the organizations should enhance and strengthen the ICS to seal the loopholes utilized in financial statement manipulations. en_US
dc.language.iso en en_US
dc.subject Earning management en_US
dc.subject Financial statement manipulation en_US
dc.subject Beneish Model en_US
dc.subject Probit regression model en_US
dc.subject Bank en_US
dc.subject Kenya en_US
dc.title Financial Statements Manipulations Using Beneish Model and Probit Regression Model. A Case of Banking Sector in Kenya en_US
dc.type Article en_US


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