RT Journal Article
T1 Analyzing the determinants of the voting behavior using a genetic algorithm
A1 Vizcaíno González, Marcos
A1 Piñeiro Chousa, Juan Ramón
A1 López Cabarcos, María Ángeles
K1 Genetic algorithm
K1 Voting behavior
K1 Banking industry
K1 United States
AB 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
PB Elsevier
YR 2016
FD 2016-02-16
LK http://hdl.handle.net/10347/16245
UL http://hdl.handle.net/10347/16245
LA eng
NO Vizcaíno-González, M., Pineiro-Chousa, J., & López-Cabarcos, M. (2016). Analyzing the determinants of the voting behavior using a genetic algorithm. European Research On Management And Business Economics, 22(3), 162-166. http://dx.doi.org/10.1016/j.iedee.2015.11.002
DS Minerva
RD 22 abr 2026