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Event study has remained one of the highly pursued areas of research in corporate finance. Studies reported in this realm empirically show that the economic model or the capital asset pricing model (CAPM) yields relatively better results with respect to the abnormal return of stocks preceded by dividend announcement by the dividend payers as compared to the statistical model, namely, constant return or market model approaches. Both models are incorporated in the study to triangulate the outcomes more accurately. A few hypotheses posited in this paper are namely, there will be significant differences in share prices of sampled companies mediated (moderated) by dividend announcement, and there will be significant differences between positive and negative average abnormal returns along with the ranks of firms.

In the aftermath of the 2007-2008 global financial crisis, there were heightened concerns among the market participants and policymakers on the potential adverse effects of economic policies on stock market liquidity. This paper examines the causality and co-movement between economic policy uncertainties and stock market liquidity using monthly data from G7 countries. Our empirical analysis considers wavelet coherence and wavelet phase angle tests. Linear and nonlinear causality test results suggest that a causal relationship exists between economic policy uncertainty and stock market liquidity. Moreover, stock market illiquidity varies with the uncertainty but in the same direction while liquidity co-moves in the opposite direction. In times of economic turmoil or crises, the relationship between policy uncertainty and illiquidity becomes stronger, and illiquidity leads economic policy uncertainty. Overall, our findings indicate that the leading indicator property of (il)liquidity is useful for providing economic information and thereby to manage market conditions and investor expectations.

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