Systemic Risk Modeling: How Theory Can Meet Statistics
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
Languages and formats available
| English | French | Spanish | Arabic | Russian | Chinese | Portuguese | |
| Paperback | Yes | ||||||
| Yes | |||||||
| ePub | Yes |
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
