Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/205734 
Year of Publication: 
2016
Citation: 
[Journal:] European Research on Management and Business Economics (ERMBE) [ISSN:] 2444-8834 [Volume:] 22 [Issue:] 3 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2016 [Pages:] 162-166
Publisher: 
Elsevier, Amsterdam
Abstract: 
Using data about votes emitted by funds in meetings held by United States banks from 2003 to 2013, we apply a genetic algorithm to a set of financial variables in order to detect the determinants of the vote direction. Our findings indicate that there are three main explanatory factors: the market value of the firm, the shareholder activism measured as the total number of funds voting, and the temporal context, which reflects the influence of recent critical events affecting the banking industry, including bankruptcies, reputational failures, and mergers and acquisitions. As a result, considering that voting behavior has been empirically linked to reputational harms, these findings can be considered as a useful insight about the keys that should be taken into account in order to achieve an effective reputational risk management strategy.
Subjects: 
Genetic algorithm
Voting behavior
Banking industry
United States
JEL: 
G01
G32
G34
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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