The Shape of Crisis Lessons from Self Organizing Maps

摘要: Self Organizing Maps are computational tools whose engagement in various research fields has grown faster and wider latest year, with the notable exception of macroeconomics, where contributions somewhat lacking. However, we going to provide evidence that joining together some graphs theory (namely: Minimum Spanning Tree), they can be successfully employed develop macroeconomic models thus taking both static dynamic (i.e. over a moving period time) snapshots countries financial situations. In this way it is possible generate useful information for policy makers, order realize more efficient interventions periods either higher instability or full-blown crisis situation.