Systemic Risk Modeling: How Theory Can Meet Statistics

Download or read book Systemic Risk Modeling: How Theory Can Meet Statistics written by Mr.Raphael A Espinoza and published by International Monetary Fund. This book was released on 2020-03-13 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a framework to link empirical models of systemic risk to theoretical network/ general equilibrium models used to understand the channels of transmission of systemic risk. The theoretical model allows for systemic risk due to interbank counterparty risk, common asset exposures/fire sales, and a “Minsky" cycle of optimism. The empirical model uses stock market and CDS spreads data to estimate a multivariate density of equity returns and to compute the expected equity return for each bank, conditional on a bad macro-outcome. Theses “cross-sectional" moments are used to re-calibrate the theoretical model and estimate the importance of the Minsky cycle of optimism in driving systemic risk.