Examinando por Materia "SISTEMA BANCARIO"
Mostrando 1 - 3 de 3
Resultados por página
Opciones de ordenación
Ítem Phishing: la automatización de la ingeniería social(Universidad EAFIT, 2007) Salazar Aristizábal, Natalia Andrea; González Arango, Marcela; Lalinde Pulido, Juan GuillermoEl presente trabajo contiene una recopilación de la información que presentan algunos bancos tanto nacionales como internacionales con respecto a Seguridad Informática más concretamente “Ingeniería social: Phishing”, un tema que tiene gran auge en la actualidad por la incidencia en la red y las consecuencias negativas que ha presentado sobre los usuarios de los diferentes entidades financieras -- Finalmente se presentan a los usuarios del Internet unos tips generales de cómo evitar este tipo de fraudesÍtem The stock market reaction to mergers and acquisitions : evidence from the banking industry(Universidad EAFIT, 2020) Lozada Hernández, Juan Manuel; Cortés Durán, Lina MarcelaMergers and acquisitions (M&As) are mainly a mechanism used in the Latin American banking industry to carry out business consolidation. This paper focuses on the effect of M&A announcements on stocks of Latin American banks and their rivals between 2000 and 2019. We evaluate two impacts of M&A announcements: impacts on cumulative abnormalreturns(CAR)andimpactsonevent-inducedvariance(EIV).WeusetheGARCHbased event-study method. We find that acquirers and target banks have a statistically significant CAR, however, the sign is inconclusive. Rivals of acquirers and targets are not affected by M&A announcements. In general, we observe that EIV is negative for acquirers, targets, and rivals. Finally, we estimate a multivariate GARCH model to isolate the effects of co-movements of volatility between the acquirer and the target, and we find that the results remain qualitatively equal.Ítem Transmission of monetary policy and bank heterogeneity in Colombia(Universidad EAFIT, 2018) Ortega Londoño, Carolina; Restrepo Tobón, Diego AlexanderThis study provides evidence of bank heterogeneity in Colombia for the period 2002-2014 and analyzes how bank-specific characteristics determine the bank-lending channel for monetary policy -- To analyze bank heterogeneity, this study estimates technical (cost) efficiency using Stochastic Frontier Analysis, which also allows for the measurement of Returns to Scale and a Lerner Index to proxy market power in the loans market -- This study also provides measures of capitalization, liquidity, and the commonly used ratios of financial and operational efficiency with bank’s balance-sheet data -- Furthermore, using a long and unbalanced panel, this study finds evidence of the existence of a bank-lending channel and finds that this transmission mechanism is determined by bank-specific characteristics -- The results suggest higher technical and operational efficiency, capitalization,liquidity and market power, increase the sensitivity of loans disbursements to monetary policy shocks, while higher returns to scale lowers this sensitivity