Stock fluctuations are correlated and amplified across networks of interlocking directorates
Serguei Saavedra, Luis J. Gilarranz, Rudolf P. Rohr, Michael Schnabel,, Brian Uzzi, Jordi Bascompte

TL;DR
This study reveals that interlocking directorate networks influence stock price correlations and can amplify fluctuations, especially during financial crises, affecting investors and regulators.
Contribution
It provides empirical evidence linking interlocking directorate network structure to stock price correlations and trading behaviors, highlighting potential amplification of market fluctuations.
Findings
Shorter network separation correlates with stronger stock return correlation.
Centrality in the network relates to trading discussion frequency and volume.
Higher centrality was associated with poorer stock performance during the 2008 crash.
Abstract
Traded corporations are required by law to have a majority of outside directors on their board. This requirement allows the existence of directors who sit on the board of two or more corporations at the same time, generating what is commonly known as interlocking directorates. While research has shown that networks of interlocking directorates facilitate the transmission of information between corporations, little is known about the extent to which such interlocking networks can explain the fluctuations of stock price returns. Yet, this is a special concern since the risk of amplifying stock fluctuations is latent. To answer this question, here we analyze the board composition, traders' perception, and stock performance of more than 1500 US traded corporations from 2007-2011. First, we find that the fewer degrees of separation between two corporations in the interlocking network, the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Markets and Investment Strategies · Market Dynamics and Volatility
