Selecting directors using machine learning
Medium
In principle, a company's board of directors reports to the shareholders and represents their interests. In practice, however, there is much variation in director quality and the extent to which they serve shareholders’ interests. A study by Isil Erel, the David A. Rismiller Chair in Finance, and Michael Weisbach, the Ralph Kurtz Chair in Finance, and a colleague shows how a 21st-century technology, machine learning, can help companies select higher quality directors.
May 4, 2020