Using a comprehensive sample of 2,585 bankruptcies from 1990 to 2019, we benchmark the performance of various machine learning models in predicting financial distress of publicly traded U.S. firms. We find that gradient boosted trees outperform other models in one-year-ahead forecasts. Variable...

We exploit an exogenous, universal increase in discount rates mandated by the Moving Ahead for Progress Act (MAP-21) to identify the impact of pension overhang on investment. We find that firms with large unfunded pension liabilities increase investment by 13% after the MAP-21 induced decrease...

We review the recent theoretical and empirical literature on debt covenants with a particular focus on how creditor governance after covenant violations can influence the borrower's corporate policies. From the theoretical literature, we identify the key trade-offs that help explain the observed...