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Andrew Baker, academic fellow at Stanford University's Rock Center for Corporate Governance and a PhD candidate at Stanford's Graduate School of Business, joins the Business Scholarship Podcast to discuss his forthcoming article Machine Learning and Predicted Returns for Event Studies in Securities Litigation. In this article, Baker and co-author Jonah Gelbach identify limitations on single-firm event studies in securities litigation and offer methods to improve their accuracy and consistency across experts.
This episode is hosted by Andrew Jennings, a teaching fellow and lecturer in law at Stanford Law School.
By Andrew Jennings4.9
3232 ratings
Andrew Baker, academic fellow at Stanford University's Rock Center for Corporate Governance and a PhD candidate at Stanford's Graduate School of Business, joins the Business Scholarship Podcast to discuss his forthcoming article Machine Learning and Predicted Returns for Event Studies in Securities Litigation. In this article, Baker and co-author Jonah Gelbach identify limitations on single-firm event studies in securities litigation and offer methods to improve their accuracy and consistency across experts.
This episode is hosted by Andrew Jennings, a teaching fellow and lecturer in law at Stanford Law School.

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