A Comparative Study of Models to Reveal Earnings Management : At Stockholm Exchange Market from year 2000-2009
Abstract: Background and problem: This paper illuminates the problem with temptation of earnings management. However, there are particular disadvantages when companies use this technique because it creates an information asymmetry at the stock market. Problem of earnings management is although not a new phenomenon there issue is the quality of financial reporting. The development is concerning, since recently the performance of financial report has a negative trend, a trend that could harm the financial world. If a company does not provide meaningful information the fundamentals of capital market lose confidence. Purpose: This study has two purposes. The first purpose is to evaluate the ability of various discretionary accruals model at Stockholm Exchange Market. The second purpose is concerning a new model in purpose to understand and reveal earnings management. Boundaries: Data contains only business corporations at large cap and operate at the Stockholm Stock Exchange market. Furthermore is this research based on a time series data from year 2000 – 2009 and cross section data from year 2009. Method: The approach of the methodology are inspired of prior earnings management research, as Healy (1985), DeAngelo (1986) and Jones (1991) which have relied on discretionary accruals to detect earnings management. Conclusion: The result indicates that the Jones modified model is the most powerful models to explain earnings management, which also is consistent with prior studies. The result from the extended Jones modified model indicates no improvement, concerning on revealing earnings management. Further, the results confirm that the null hypothesis can be rejected at 1% significant level but the F-value fall drastically compare to Jones modified model. Suggestions for further research: One suggestion is that more research should be conducted in order to develop accounting policies aimed at limiting the application of earnings management. Alternatively, future research should base on data that measures the phenomenon of earnings management at a deeper level. Yet there are some obstacles to gather desire data and therefore it is not easily accessible.
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