A MULTILAYER VIEW OF SYSTEMIC IMPORTANCE AND AGGREGATE FLUCTUATIONS
提出一个多层网络模型，研究多个相互关联的群体及其网络外部性如何产生系统性风险，并分析冲击在层内和层间传播对系统重要性和总体波动的影响。
Abstract Economic systems are composed of multiple interrelated groups of agents and with multiple sources of network externalities present. This can give rise to novel systemic risks. We propose a multilayer model to understand this phenomenon. The model features complementary or substitutionary actions of agents active in multiple groups and extends the network concepts of systemic importance and microinduced aggregate fluctuations to their multigroup counterparts. The multilayer allows for the propagation of shocks through both intra‐ and interlayer margins. The interlayer margin can be large enough to induce a reordering of systemic importance indicators as compared to singular group considerations, and produce volatility levels that are larger than economies consisting of a single group of agents.