CEO Network Centrality and the Likelihood of Financial Reporting Fraud
Salim Chahine, Yiwei Fang, Iftekhar Hasan, Mohamad Mazboudi
Abacus,
forthcoming
Abstract
This paper investigates the association between CEO’s relative position in the social network and the likelihood of being involved in corporate fraud. Tracing a large sample of US publicly listed firms, we find that CEO network centrality is inversely related to the likelihood of fraudulent financial reporting. We also document a significant spillover effect of financial reporting behaviour from the dominant (most central) CEO to other CEOs in the same social network, suggesting that the ethical corporate behaviour of CEOs is, on average, influenced by that of their dominant CEO in the network. We further find that the role of CEO network centrality in reducing fraud risk is more prominent in firms with lower auditor quality. Overall, our results suggest that network centrality is an important CEO trait that promotes ethical financial reporting behaviour within social networks.
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Firm Social Networks, Trust, and Security Issuances
Ming Fang, Iftekhar Hasan, Zenu Sharma, An Yan
European Journal of Finance,
forthcoming
Abstract
We observe that public firms are more likely to issue seasoned stocks rather than bonds when theirs boards are more socially-connected. These connected issuers experience better announcement-period stock returns and attract more institutional investors. This social-connection effect is stronger for firms with severe information asymmetry, higher risk of being undersubscribed, and more visible to investors. Our conjecture is this social-network effect is driven by trust in issuing firms. Given stocks are more sensitive to trust, these trusted firms are more likely to issue stocks than bonds. Trustworthiness plays an important role in firms’ security issuances in capital markets.
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O Brother, Where Start Thou? Sibling Spillovers on College and Major Choice in Four Countries
Adam Altmejd, Andrés Barrios-Fernández, Marin Drlje, Joshua Goodman, Michael Hurwitz, Dejan Kovač, Christine Mulhern, Christopher Neilson, Jonathan Smith
Quarterly Journal of Economics,
No. 3,
2021
Abstract
Family and social networks are widely believed to influence important life decisions, but causal identification of those effects is notoriously challenging. Using data from Chile, Croatia, Sweden, and the United States, we study within-family spillovers in college and major choice across a variety of national contexts. Exploiting college-specific admissions thresholds that directly affect older but not younger siblings’ college options, we show that in all four countries a meaningful portion of younger siblings follow their older sibling to the same college or college-major combination. Older siblings are followed regardless of whether their target and counterfactual options have large, small, or even negative differences in quality. Spillover effects disappear, however, if the older sibling drops out of college, suggesting that older siblings’ college experiences matter. That siblings influence important human capital investment decisions across such varied contexts suggests that our findings are not an artifact of particular institutional detail but a more generalizable description of human behavior. Causal links between the postsecondary paths of close peers may partly explain persistent college enrollment inequalities between social groups, and this suggests that interventions to improve college access may have multiplier effects.
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Identifying Cooperation for Innovation―a Comparison of Data Sources
Michael Fritsch, Mirko Titze, Matthias Piontek
Industry and Innovation,
No. 6,
2020
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.
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Financial Stability
Financial Systems: The Anatomy of the Market Economy How the financial system is...
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