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Predicting Chapter 11 Bankruptcy Case Outcomes Using The Federal Judicial Center Idb And Ensemble Artificial Intelligence, Warren E. Agin, Gill Eapen

Georgia State University Law Review

In this project, the authors obtained public data on over 100,000 Chapter 11 bankruptcy cases and used machine and deep-learning methodologies to explore whether models could be designed to predict Chapter 11 case outcomes. The data used was obtained from the Federal Judicial Center’s bankruptcy Integrated Database and included information about case filing dates, the court where the case was filed, the type of business entity, and basic information about assets and liabilities. Using this information, the authors initially sought to predict whether a particular case was dismissed, converted to another Chapter under the Bankruptcy Code, or closed with a …