Models for evaluation of resistance of macroeconomic systems to exogenic "shocks"

The article proposes an approach to the development of models for assessing resilience macroeconomic systems effects exogenous shocks with emphasis on study diagnostic classes. relevance chosen research topic is explained by fact that world economy takes place in context increasing globalization processes. In this economic environment, both positive and negative these processes are formed. Due inability control impact external destabilizing factors, there a problem "shocks" elements. Consideration thematic, literature sources allowed confirm importance stated insufficient elaboration issues stability cluster formations. aim develop classification that, based hierarchical agglomerative methods analysis, iterative Kohonen neural networks, allow analyze formations, migration elements from action shocks. main objectives were classifying countries according level resistance agglomeration networks; assessment quality, justification choice final breakdown; analysis cluster, structural dynamics. obtained results us conclude networks provide opportunity obtain better more economically interpreted taking into account crisis element prone cluster. Analysis dynamics clusters pre-crisis, crisis, post-crisis period shows decrease global stability, as high proportion medium low "shocks", well many lower period. characteristics showed critical subsystem financial security subsystem, which requires transformation protection mechanisms "contagion". can be used proactive management.