This paper exploits a unique natural experiment in which a regulator limited voluntary disclosure of oil and gas firms. We examine the implications of this disclosure rule on unexplained trading volume and market liquidity. Relying on the theoretical framework of Kim and Verrecchia (1994), the...

In this chapter I explore the UK Code of Governance as a model for the spread of notions of self-regulation into Codes of corporate governance worldwide. I then briefly discuss some limitations and problems of the UK Code, arguing that it implicitly operates on the basis of suasion; that its...

This paper examines whether the change in stock liquidity subsequent to voluntary disclosure is different between good news and bad news. Using voluntary 8-K filings, we find that the increase in stock liquidity is more pronounced for firms with good news disclosure than for firms with bad news...

Are there differentials in children's competence levels by their self-regulation and do they imply differences in competence development? We investigate the relationship between preschoolers' self-regulation and their mathematical competence and its development using data from the German...

Sustainability pledges are en vogue. In the business sector, but also in climate negotiations, pledges are used to signal actors' intention to act pro-environmentally. Laboratory experiments testify to the potential effectiveness of these public declarations. Previous work has examined under...

This paper examines whether -- in the absence of mandated disclosure requirements -- shareholder activism can elicit greater disclosure of firms' exposure to climate change risks. We find that environmental shareholder activism increases the voluntary disclosure of climate change risks,...

This paper exploits a natural experiment involving self-regulation in the ready-to-eat (RTE) breakfast cereal industry to evaluate how firms respond to entry in light of changes in competition and to estimate the value of brand equity as products are re-positioned. Self-regulation led to a...

Purpose: This research aims to develop a dynamic and self-regulated application that considers demand forecasts, based on linear regression as a basic algorithm for machine learning. Methodology: This research uses aggregate planning and machine learning along with inventory policies through the...

In energy efficiency networks, groups of firms exchange experiences on energy conservation in regular meetings over several years. The companies implement energy efficiency measures in order to reach commonly agreed energy savings and CO2 reduction goals. Energy efficiency networks exist in...