3 resultados para Setup

em Universidad del Rosario, Colombia


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El manejo de las lesiones de plejo braquial ha sido ampliamente discutido e investigado, especialmente en las lesiones cerradas por tracción. Las lesiones abiertas con compromiso vascular, muchas veces comprometen la viabilidad de la extremidad o la vida del paciente; son de difícil manejo con prioridades distintas, tiempos de establecimiento de los procedimientos que varían respecto a los hallazgos con resultados funcionales pobres por el diagnostico tardío de la lesión nerviosa. Se plantean interrogantes desde el punto de vista vascular y de la lesión nerviosa. se realiza una revisión sistemática de la literatura, encontrando puntos importantes con respecto a la exploración, el momento de la reparación nerviosa pero sin establecer resultados funcionales claros ante la deficiencia metodológica de los estudios encontrados.

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We design a financial network model that explicitly incorporates linkages across institutions through a direct contagion channel, as well as an indirect common exposure channel. In particular, common exposure is setup so as to link the financial to the real sector. The model is calibrated to balance sheet data on the colombian financial sector. Results indicate that commercial banks are the most systemically important financial institutions in the system. Whereas government owned institutions are the most vulnerable institutions in the system.

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We propose and estimate a financial distress model that explicitly accounts for the interactions or spill-over effects between financial institutions, through the use of a spatial continuity matrix that is build from financial network data of inter bank transactions. Such setup of the financial distress model allows for the empirical validation of the importance of network externalities in determining financial distress, in addition to institution specific and macroeconomic covariates. The relevance of such specification is that it incorporates simultaneously micro-prudential factors (Basel 2) as well as macro-prudential and systemic factors (Basel 3) as determinants of financial distress. Results indicate network externalities are an important determinant of financial health of a financial institutions. The parameter that measures the effect of network externalities is both economically and statistical significant and its inclusion as a risk factor reduces the importance of the firm specific variables such as the size or degree of leverage of the financial institution. In addition we analyze the policy implications of the network factor model for capital requirements and deposit insurance pricing.