%0 Journal Article %1 Nier.Yang.ea2007Networkmodelsand %A Nier, E. %A Yang, J. %A Yorulmazer, T. %A Alentorn, A. %D 2007 %I Elsevier %J Journal of Economic Dynamics and Control %K systemicrisk %N 6 %P 2033--2060 %R doi:10.1016/j.jedc.2007.01.014 %T Network models and financial stability %V 31

@article{Nier.Yang.ea2007Networkmodelsand, added-at = {2009-09-13T21:26:58.000+0200}, author = {Nier, E. and Yang, J. and Yorulmazer, T. and Alentorn, A.}, biburl = {https://www.bibsonomy.org/bibtex/2875ccbd9154eaa3793e37d7c45a8d0f3/janlo}, collaborationtags = {JL SB systemic risk, JL SB FS contagion}, description = {JL: Model distinguishes from Eisenberg (but probably can be reformulated mostly in that terms). A financial system is charcterised by five parameters (including N (=25) and the Link probability of a directed ER Graph). Then the financial system is computed form these parametes with assumptions of each link has the same strength (all interbank borrows are of the same size). They deal with ideosyncratic shocks (a shock destroys all extrenal assets) and then propagation is studied. For the link density (LD) they found: In good capitalized systems (net worth bigger then 7% of total assets) increasing LD further decreases systemic risk, while it is the opposit in bad capitalized systems (e.g. net worth 1% of total assets). In the latter the propagating effect dominates the absoring effect.}, doi = {doi:10.1016/j.jedc.2007.01.014}, interhash = {f11437351293e57d103197ece9d0c7c6}, intrahash = {875ccbd9154eaa3793e37d7c45a8d0f3}, jlprojects = {systemic_risk}, journal = {Journal of Economic Dynamics and Control}, keywords = {systemicrisk}, number = 6, pages = {2033--2060}, publisher = {Elsevier}, timestamp = {2009-09-13T21:26:58.000+0200}, title = {{Network models and financial stability}}, volume = 31, year = 2007 }