4.3 Article

The Importance of Director External Social Networks to Stock Price Crash Risk*

期刊

CONTEMPORARY ACCOUNTING RESEARCH
卷 38, 期 2, 页码 903-941

出版社

WILEY
DOI: 10.1111/1911-3846.12647

关键词

crash risk; social network; social connections; board monitoring

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Prior research suggests that information transmitted through director networks can influence firms' policies and real economic activities. The extent of external connections of the board of directors is negatively associated with future stock price crash risk. Our empirical findings support the monitoring view, indicating that well-informed directors can limit the hoarding of bad news.
Prior research documents that information transmitted via director networks affects firms' policies and real economic activities. Given a manager's potential monopoly over firm information, it is important to analyze whether information transmission through director social networks undermines the manager's control. Specifically, we explore whether information flow through director networks influences managers' ability to hoard bad news. We predict and find that the extent of external connections of the board of directors is negatively associated with future stock price crash risk. Additional analysis implies that this evidence is driven by firms with more powerful executives, with weaker auditor monitoring, or subject to strong investor protection, and by directors with greater monitoring incentives or responsibilities and directors with less firm-specific knowledge. Collectively, our research lends empirical support for the monitoring view under which better-informed directors narrow the scope for bad news hoarding evident in stock price crash risk. In another series of tests, we fail to find evidence consistent with the information leakage view under which directors pass sensitive firm-specific information to connections that trade on the information before its public release. Other analysis helps dispel the concern that the endogenous match between directors and companies is spuriously responsible for our core results. Our empirical findings have important implications on how social networks affect the proper functioning of capital markets.

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