This study investigates the importance of corporate boards by exploiting the predictions from a learning model in which capital markets process information and learn about the quality of incoming directors. The estimates suggest that upon the arrival of a new director, uncertainty about...

The objective of this paper is to demonstrate how the boosting approach can be used to define a data-driven board balanced scorecard (BSC) with applications to S&P 500 companies. Using Adaboost, we can generate alternating decision trees (ADTs) that explain the relationship between corporate...