An analysis of a unique proprietary dataset reveals that non-trivial proportions of directors, CEOs and CFOs in Swedish listed companies have been convicted of crimes. Based on prior literature, we argue that directors and senior executives with prior criminal convictions are more prone to take...

Revenues and expenses are fundamentally proportional to one another, but are likely to be disproportionally affected by transitory items or economic shocks. We build on this observation and propose a new measure of sustainable earnings based on deviations from normal profit margins. While some...

Though ample empirical evidence alludes to the importance of disaggregated accounting data in the context of earnings management, extant accounting theory considers biases in reporting earnings mostly at the aggregated level of the reported earnings. By analyzing reporting manipulations at the...

This study examines investor reaction to return on common equity (ROCE) and its components around the announcement of quarterly earnings. It is an issue that the accounting literature has not examined, notwithstanding the importance of ratio analysis in general and the DuPont decomposition in...

Prior literature shows government corruption mostly hurts poorer economies, whereas recent events, including the 2008 US economic crisis, suggest business corruption may harm growth in wealthier economies. Using multi-national surveys in which citizens communicated their perceptions of...

We examine the relation between insider trading and corporate disclosure of cyberattacks. We distinguish between companies that voluntarily disclosed cyberattacks and those that withheld information on the incidents, and parties outside the attacked company later discovered the incident. We find...

Using daily stock returns, we estimate the precision of information during earnings and non-earnings announcement days, and find that although the precision of information in daily stock returns increases during earnings announcement days, it explains less of the variation in expected returns...

The fixed-effects specification is often used in panel datasets as a way of dealing with correlated omitted variables. A review of recent accounting publications reveals that while researchers are generally aware of the need to include fixed-effects in empirical models when using panel datasets...