Finance and Financial Management Commons^™

Board Composition, Board Diversity And Stock Performance, Chiyachantana N. Chiraphol, Siripen Pattanawihok, Pattarawan Prrasarnphanich

Research Collection Lee Kong Chian School Of Business

The study investigates the relationship between six board compositions and stock returns. The results indicate a significant association between various board compositions and stock returns. Specifically, board size and executive directors have a negative impact, whereas independent directors enhance stock returns. Busy directors positively impact the abnormal stock returns for the companies in the non-financial industry, which implies that busy directors who serve on more boards tend to be well connected. More importantly, the results indicate a significant positive relationship between board tenure and stock returns. Board service time is perceived as the board quality of knowledge and experience from …

Lessons Learned: Chester B. Feldberg, Maryann Haggerty

Journal of Financial Crises

Chester B. Feldberg worked for the Federal Reserve Bank of New York (FRBNY) for 36 years in a variety of roles. In the aftermath of the Global Financial Crisis, he served as a trustee for the AIG Credit Trust Facility (2009-2011). The trust was established in early 2009 to hold the equity stock of American International Group Inc. (AIG) that the U.S. government had received as a result of the 2008 AIG bailout. The three trustees were responsible for voting the stock, ensuring satisfactory corporate governance at AIG, and eventually disposing of the stock.

When he was named as a …

Cleaning Corporate Governance, Jens Frankenreiter, Cathy Hwang, Yaron Nili, Eric L. Talley

Faculty Scholarship

Although empirical scholarship dominates the field of law and finance, much of it shares a common vulnerability: an abiding faith in the accuracy and integrity of a small, specialized collection of corporate governance data. In this paper, we unveil a novel collection of three decades’ worth of corporate charters for thousands of public companies, which shows that this faith is misplaced.

We make three principal contributions to the literature. First, we label our corpus for a variety of firm- and state-level governance features. Doing so reveals significant infirmities within the most well-known corporate governance datasets, including an error rate exceeding …