We present a network model of the interbank market in which optimizing risk averse banks lend to each other and invest … sale externalities. The resulting network configurations exhibits a core-periphery structure, dis-assortative behavior and … low clustering coefficient. We measure systemic importance by means of network centrality and input-output metrics and the …

We present a network model of the interbank market in which optimizing risk averse banks lend to each other and invest … sale externalities. The resulting network configurations exhibits a core-periphery structure, dis-assortative behavior and … low clustering coefficient. We measure systemic importance by means of network centrality and input-output metrics and the …

We present a network model of the interbank market in which optimizing risk averse banks lend to each other and invest … sale externalities. The resulting network configurations exhibits a core-periphery structure, dis-assortative behavior and … low clustering coefficient. We measure systemic importance by means of network centrality and input-output metrics and the …

that while the global network structure remains stable, individual exposures are more dynamic. The main message from the …

requirement with the consideration of the network formed by banks and the associated systemic risk. Banks form the network … strategically and diversify their portfolios within the network in response to the regulation. Multiple equilibrium network … structures are fully characterized and ranked with the possibility of independent negative shocks to each bank. We show that the …

derivatives, arguably to create a less complex and more transparent interbank network that is less prone to financial … instabilities. We construct a network model with endogenous exposures and show that the core and the periphery react asymmetrically …-regulation. This endogenous network reaction to the regulation creates the unanticipated effect of reducing financial stability through …