Institutional Investor Voting Behavior: A Network Theory Perspective
European Corporate Governance Institute (ECGI) - Law Working Paper No. 393/2018
57 Pages Posted: 9 Apr 2018 Last revised: 10 Jul 2018
Date Written: July 2018
This paper shows how network theory can improve our understanding of institutional investors’ voting behavior and, more generally, their role in corporate governance. The standard idea is that institutional investors compete against each other on relative performance and hence might not cast informed votes due to rational apathy and rational reticence. In other words, institutional investors have incentives to free ride, instead of “cooperating” and casting informed votes. We show that connections of various nature among institutional investors, whether from formal networks, geographical proximity or common ownership, and among institutional investors and other agents, such as proxy advisors, contribute to shaping institutional investors’ incentives to vote “actively.” They also create intricate competition dynamics: competition takes place not only among institutional investors (and their asset managers), but also at the level of their employees and among “cliques” of institutional investors. Employees, who strive for better jobs, are motivated to obtain more information on portfolio companies than may be strictly justified from their employer institution’s perspective, and to circulate it within their network. Cliques of institutional investors compete against each other. Because there are good reasons to believe that cliques of cooperators outperform cliques of non-cooperators, the network-level competition might increase the incentives of institutional investors to collect information. These dynamics can enhance institutional investors’ engagement in portfolio companies and also shed light on some current policy issues such as the antitrust effects of common ownership and mandatory disclosures of institutional investors’ voting.
Keywords: Institutional Investors, Corporate Governance, Network Theory, Cliques
JEL Classification: G20, G28, G30, G34
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