Abstract:Abstract This chapter shows how network theory can improve our understanding of institutional investors’ voting behaviour and, more generally, their role in corporate governance. The standard idea is ...Abstract This chapter shows how network theory can improve our understanding of institutional investors’ voting behaviour 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 kinds 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.Read More
Publication Year: 2021
Publication Date: 2021-01-14
Language: en
Type: book-chapter
Indexed In: ['crossref']
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