Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/154247
Authors: 
White, Halbert
Kim, Tae-Hwan
Manganelli, Simone
Year of Publication: 
2015
Series/Report no.: 
ECB Working Paper 1814
Abstract: 
This paper proposes methods for estimation and inference in multivariate, multi-quantile models. The theory can simultaneously accommodate models with multiple random variables, multiple confidence levels, and multiple lags of the associated quantiles. The proposed framework can be conveniently thought of as a vector autoregressive (VAR) extension to quantile models. We estimate a simple version of the model using market equity returns data to analyse spillovers in the values at risk (VaR) between a market index and financial institutions. We construct impulse-response functions for the quantiles of a sample of 230 financial institutions around the world and study how financial institution-specific and system-wide shocks are absorbed by the system. We show how the long-run risk of the largest and most leveraged financial institutions is very sensitive to market wide shocks in situations of financial distress, suggesting that our methodology can prove a valuable addition to the traditional toolkit of policy makers and supervisors.
Subjects: 
CAViaR
codependence
quantile impulse-responses
spillover
JEL: 
C13
C14
C32
ISBN: 
978-92-899-1627-1
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.