Systemic Risk Modeling: How Theory Can Meet Statistics

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Price:  $18.00

Author/Editor: Raphael A Espinoza, Miguel A Segoviano, Ji Yan
Release Date: © March, 2020
ISBN : 978-1-51353-617-0
Stock #: WPIEA2020054
English
Stock Status: On back-order

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Description

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.




More publications in this series: Working Papers


More publications by: Raphael A Espinoza ; Miguel A Segoviano ; Ji Yan