Overlapping board connections with banker directors and corporate loan terms: Evidence from syndicated loans
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Date
2021
Authors
Egrican, Asli Togan
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
I look at the relationship between corporate loan terms and board members' connections to bankers through employment on other boards, a connection relatively unaffected by confounding factors. Using syndicated loan data, I find that firms connected to bankers via other boards are more likely to borrow, and they receive cheaper pricing. However, loan maturity does not differ between connected and unconnected firms. During the 2007-2008 financial crisis loan availability declined for all firms, but connected firms continued to borrow and to receive lower spreads. Generally, my results support the importance of social connections in decreasing information asymmetry and reducing transaction costs.
Description
ORCID
Keywords
Social Networks, Asymmetric Information, Lending Relationships, Universal Banks, Risk, Determinants, Friends, Social Networks, Asymmetric Information, Board of directors, Lending Relationships, Social networks, Universal Banks, Syndicated loans, Risk, Bank lending, Determinants, Lending outcomes, Friends, Asymmetric information, Risk, Asymmetric information, Syndicated loans, Friends, Social networks, Board of directors, Social Networks, Bank lending, Lending outcomes, Universal Banks, Asymmetric Information, Lending Relationships, Determinants
Fields of Science
05 social sciences, 0502 economics and business
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
4
Source
Global Finance Journal
Volume
50
Issue
Start Page
100672
End Page
PlumX Metrics
Citations
CrossRef : 1
Scopus : 9
Captures
Mendeley Readers : 15
SCOPUS™ Citations
9
checked on Feb 20, 2026
Web of Science™ Citations
8
checked on Feb 20, 2026
Page Views
3
checked on Feb 20, 2026
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OpenAlex FWCI
0.2949908
Sustainable Development Goals
10
REDUCED INEQUALITIES


