Abstract: Este trabajo muestra la aplicación del modelo núcleo-periferia para medir dos dimensiones del riesgo sistémico en el mercado interbancario venezolano: conectividad y patrones de fondeo entre bancos. El período de estudio es de interés porque contiene un episodio de ajuste financiero en el año 2009. Los resultados muestran que posterior a esta fecha, la conectividad del mercado parece haberse reducido, lo que podría redundar en menor riesgo sistémico de contagio. En contraposición, los patrones de fondeo parecen haberse modificado y sugieren que los bancos con más permanencia en el núcleo tienden a tener necesidades de liquidez crecientes, apuntando a mayor riesgo de iliquidez en dichos bancos. Asimismo, la aplicación del modelo contribuye a identificar bancos donde debe focalizarse la supervisión. ; This paper presents a core-periphery model application for measuring two systemic risk dimensions in the Venezuelan inter-bank market: connectivity and funding patterns between banks. The period of study is of special interest given that it includes a financial adjustment during 2009. Results evidence that after this date, market connectivity seems to have dropped, which could lead to a smaller systemic risk spread. In the other hand, funding patterns seem to have been modified and suggest that banks, which belong to the core, tend to present increasing liquidity needs, which increases the liquidity risks of this banks. Likewise, the model application helps to identify which banks should be more closely supervised. ; Este trabalho mostra a aplicação do modelo núcleo-periferia para medir duas dimensões do risco sistémico no mercado interbancário venezuelano: conectividade e padrões de ancoragem entre bancos. O período de estudo é de interesse porque contém um episódio de ajuste financeiro no ano 2009. Os resultados mostram que posterior a esta data, a conectividade do mercado parece ter reduzido, o que poderia redundar em menor risco sistémico de contágio. Em contraposição, os padrões de ancoragem parecem ter sido modificado e sugerem que os bancos com mais permanência no núcleo tendem a ter necessidades de liquidez crescentes, apontando a maior risco de iliquidez em ditos bancos. Assim mesmo, a aplicação do modelo contribui a identificar bancos onde deve focalizar-se a supervisão.
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