Firms Gone Dark
Thanks to Robert Bartlett, Lucian Bebchuk, Richard Epstein, Larry Ribstein, Amanda Rose, and other participants in the Symposium, The Going-private Phenomenon: Causes and Implications at The University of Chicago Law School. Ching-Tang Chen, Joey Hipolito, Alex Jadin, Amad Judeh, Thomas King, I-Jung Lee, and Tal Niv provided extremely valuable research assistance. I am also thankful to Larry Goldstein of Santa Monica Partners for helpful conversations on the challenges faced by investors in firms that have gone dark. Financial support from the Boalt Hall Fund is gratefully acknowledged.
The securities laws have permitted hundreds of firms to exit the mandatory disclosure system even though these firms’ shares continue to be publicly traded and may be held by thousands of investors. Such exiting firms are said to “go dark” because they subsequently tend to provide little information to public investors. This Article describes the going-dark phenomenon and considers its implications for the longstanding debate over the desirability of mandatory disclosure. The Article also puts forward a new approach to regulating firms seeking to go dark: giving public shareholders a veto right over exit from mandatory disclosure.
We would like to thank the participants of the How AI Will Change the Law Symposium, cohosted by the Coase-Sandor Institute, the University of Chicago Law Review Online, and Oxford Business Law Blog, for their helpful comments.
We would like to thank the participants of the How AI Will Change the Law Symposium, cohosted by the Coase-Sandor Institute, the University of Chicago Law Review Online, and Oxford Business Law Blog, for their helpful comments.
Artificial intelligence (AI) has the potential to alter the interpretation of the duties of care, skill, and diligence. As these duties form the foundation for the BJR and equivalent provisions, the development of AI is also expected to impact the BJR. There is a broadening importance, in an increasingly data-driven business environment, of the requirement to gather sufficient information before making a decision and to use information in a valid manner. Changes are both quantitative (how much information to collect) and qualitative (which types of information to collect). The changes also relate to the methods of decision-making, including the role of measures and statistics over intuition.
We would like to thank the participants of the How AI Will Change the Law Symposium, cohosted by the Coase-Sandor Institute, the University of Chicago Law Review Online, and Oxford Business Law Blog, for their helpful comments.
We would like to thank the participants of the How AI Will Change the Law Symposium, cohosted by the Coase-Sandor Institute, the University of Chicago Law Review Online, and Oxford Business Law Blog, for their helpful comments.
Artificial intelligence (AI) has the potential to alter the interpretation of the duties of care, skill, and diligence. As these duties form the foundation for the BJR and equivalent provisions, the development of AI is also expected to impact the BJR. There is a broadening importance, in an increasingly data-driven business environment, of the requirement to gather sufficient information before making a decision and to use information in a valid manner. Changes are both quantitative (how much information to collect) and qualitative (which types of information to collect). The changes also relate to the methods of decision-making, including the role of measures and statistics over intuition.
My views on these subjects owe much to my collaborators, especially Michael Barr, Megan Shearer, and Michael Wellman, with whom I have been studying the behavior of algorithmic traders in financial markets, and Howell Jackson, with whom I have been presenting on social media and capital markets at PIFS-IOSCO’s trainings for securities regulators. All errors are my own. Thanks to the participants at the University of Chicago’s Symposium on “How AI Will Change the Law” for helpful comments, and to the editors of the University of Chicago Law Review for their helpful insights.
This Essay argues that the increasing prevalence and sophistication of artificial intelligence (AI) will push securities regulation toward a more systems-oriented approach. This approach will replace securities law’s emphasis, in areas like manipulation, on forms of enforcement targeted at specific individuals and accompanied by punitive sanctions with a greater focus on ex ante rules designed to shape an ecology of actors and information.