Corporate Finance Policies and Social Networks

By Cesare Fracassi. Management Sciences, 2017

413 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

It’s who you know that counts: Board connectedness and CSR performance (2020, positive): “For example, Fracassi (2017) reports dissimilar investment policies following the death of a connecting independent director. Examples of other findings include a decline in firm performance when the CEO’s network becomes less diverse following a death or retirement in their network (Fang et al., 20”
Failure and success in mergers and acquisitions (2019, positive): “…and social networks enable connected CEOs and directors to get easier and less costly access to information which can improve decision making (Fracassi, 2017; Wu, 2011) and facilitate the search for profitable targets (Renneboog and Zhao, 2014), but they may also reflect managerial power…”
AI in Finance: Challenges, Techniques, and Opportunities (2021, methodology): “Typical methods include social media analysis, topic modeling, sentiment analysis, emotional analysis, influence analysis, modeling linkage and interactions, multimodal analysis, deep reinforcement learning, recurrent neural networks, and neural language models, such as BERT and variants [5, 8, 65, ”
Social Capital, Investments and External Financing (2015, positive): “Recent studies such as Engelberg et al., (2012) and Fracassi (2014) use this database to estimate corporate social connections.”