<p>Abstract
The topic for this study was the phenomenon of income smoothing as a strategy for earnings management in banks and financial institutions. The general problem of the study was that income smoothing was a form of earnings manipulation and could lead to fraud. Moreover, the specific problem was that it was unknown how the International Financial Reporting Standards (IFRS), in its ushering of higher financial reporting quality, could influence the level of remediation and accounting practice among financial institutions and banks; having said that, there was yet to be a formal attempt at quantifying and understanding how the IFRS and the practices it ushered in could regulate income smoothing and earnings management among financial and banking institutions, as well as its effect on the quality of financial statements presented by such firms. To address this problem, the purpose of this study was to explore how the IFRS, in its ushering of higher financial reporting quality, could influence the level of remediation and accounting practices among financial institutions and banks. In line with the problem and purpose of the study, a correlational quantitative study was the research design used. Data were gathered from banks or financial institutions listed in the NYSE since 2000. Multiple linear regressions were used to analyze the data gathered. The results of the regression analysis supported the alternative hypothesis that earnings from tangible assets categorized as plant and equipment used for production in the year of investigation as influenced by the IFRS significantly influence in minimizing the rate to which firms? engage in earnings management. This research provides understanding into how earnings management has collaboratively influenced the reported financials of the 100 NYSE-listed companies that partook in this study.
Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10259522 |
Date | 31 March 2017 |
Creators | Onyekwena, Ifeanyi David |
Publisher | Northcentral University |
Source Sets | ProQuest.com |
Language | English |
Detected Language | English |
Type | thesis |
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