We use machine learning methods and high-dimensional detailed financial data to predict the direction of one-year-ahead earnings changes. Our models show significant out-of-sample predictive power: the area under the receiver operating characteristics curve ranges from 67.52% to 68.66%,...

We conduct a fundamental analysis of detailed financial information to predict earnings. Since 2012, all U.S. public companies must tag quantitative amounts in financial statements and footnotes of their 10-K reports using the eXtensible Business Reporting Language (XBRL). Leveraging machine...

Health-insurance premiums account for a significant portion of the cost base of U.S. corporations. A recent study finds that health-insurance premiums increase for firms that experience positive profit shocks (Dafny 2010), suggesting that the U.S. health-insurance market is not perfectly...

There is relatively little prior evidence on the potential impact of rank and file employees on financial reporting choices outside union negotiations. We contribute to the literature by providing new evidence that firms appear to manage long-run earnings upward in order to manage employee...