The Role of Ethical Standards in the Relationship Between Religious Social Norms and M&A Announcement Returns

Journal of Business Ethics - Prior studies suggest that firms headquartered in areas with strong religious social norms have higher ethical standards. In this study, we examine whether the ethical...     

Mood and Ethical Decision Making: Positive Affect and Corporate Philanthropy

Journal of Business Ethics - This study examines the influence of mood (‘affect’) on corporate philanthropic giving. Drawing on group emotions theory and affect-infused decision theory,...     

Stock liquidity and corporate tax avoidance

We show that firms with higher stock liquidity engage less in extreme (i.e., overly aggressive or overly conservative) tax avoidance. The effect of stock liquidity on tax avoidance is economically meaningful and robust across alternative measures of tax avoidance and stock liquidity. The findings also hold after controlling for potential endogenous effects. We further document that the effect of stock liquidity on tax avoidance is amplified for firms with high proportions of activist shareholders and attenuated for firms with high levels of stock price informativeness. Overall, our findings suggest that stock liquidity mitigates extreme tax avoidance by enhancing shareholders’ monitoring over firm management.

     

EARNINGS NEWS AND MARKET RISK: IS THE MAGNITUDE OF THE POSTEARNINGS ANNOUNCEMENT DRIFT UNDERESTIMATED?

Postearnings announcement drift is the tendency for cumulative abnormal returns to drift in the direction of earnings surprise after the earnings news is released. I show that a standard approach to measuring abnormal returns by using preannouncement estimates of market risk (betas) causes the magnitude of this phenomenon to be significantly underestimated. I find that stock beta tends to rise (fall) following the release of bad (good) earnings news. In addition, I find that by not taking into account postannouncement shifts in betas, prior studies are likely to have underestimated the magnitude of the drift. My results are robust to different model specifications, as well as to different earnings surprise measures.