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This paper aims to examine and compare the dividend ratios’ statistical and economic ability to predict the equity premium in the UK and US markets and two US sub-indices (S&P 500 Growth and S&P 500 Value).

In this paper, the authors use the linear regression models to examine the dividend ratios’ statistical ability to predict the equity premium. The in-sample and out-of-sample approaches, including Diebold and Mariano (1995) statistics, and Goyal and Welch’s (2003) graphical approach, are used. Also, the mean-variance analysis is used to test the economic significance.

The paper findings indicate that the dividend ratios have in-sample and out-of-sample predictive abilities in both UK and US markets and both US sub-indices. However, the results show that the dividend ratios have a less impressive predictive ability in the US market compared to the UK market and less in the US value index than the US growth index. This could indicate that there is no relation between the number of companies that distribute dividends in each index and the informativeness of dividends ratios. Furthermore, the tests show the dividend ratios’ predictive ability departure during particular periods and in some indices.

Results and implications of this research are exclusively applied to the US and UK markets. These results can also be applied with caution to other markets, taking into consideration the distinctive characteristics of these markets.

Results revealed in this paper imply that the investors in any of the indices may experience economic gain by adopting a dynamic trading strategy using the information content of the dividend ratios prediction models instead of the benchmark model, which is the prevailing simple moving average model.

This paper adds value through testing the prediction models’ economic significance in two well-developed markets, in addition to exploring the relationship between the number of companies distributing cash dividends and the dividends ratio prediction ability. Unlike most of the previous studies in which dividend ratios’ prediction ability is attributed to the number of companies that distribute dividends in the market, this paper denied this interpretation by studying two S&P 500 sub-indices. To the best of the authors’ knowledge, this is the first study to test the prediction models’ ability for these sub-indices.

The purpose of this paper is to re-examine the motivation to manage earnings in US mergers and acquisitions (M&As) by investigating whether the enactment of Sarbanes-Oxley act (SOX) has affected pre-merger earnings management.

The authors used a sample of over 700 completed M&As of US public firms during 1999-2008. Using quarterly reports, they tracked down earnings management during the four quarters preceding the deal and consequently drew inferences about the implications of SOX on interim reporting practices.

We report evidence that in the post-SOX era, non-cash acquirers begin pre-merger upwards earnings management in an earlier quarter than in the pre-SOX era. Further, our evidence indicates that in the quarters prior to the takeover, targets engage in more aggressive upwards earnings management in the post-SOX era.

Unlike what is anticipated regarding earnings management practices after SOX, the study reveals significant evidence of upward earnings management by firms engaging in M&A in post-SOX era.