Please use this identifier to cite or link to this item:
Schwaab, Bernd
Zhang, Xin
Lucas, André
Year of Publication: 
Series/Report no.: 
Tinbergen Institute Discussion Paper No. TI 2020-076/III
A dynamic semi-parametric framework is proposed to study time variation in tail fatness of sovereign bond yield changes during the 2010--2012 euro area sovereign debt crisis measured at a high (15-minute) frequency. The framework builds on the Generalized Pareto Distribution (GPD) for modeling peaks over thresholds as in Extreme Value Theory, but casts the model in a conditional framework to allow for time-variation in the tail shape parameters. The score-driven updates used improve the expected Kullback-Leibler divergence between the model and the true data generating process on every step even if the GPD only fits approximately and the model is mis-sepcified, as will be the case in any finite sample. This is confirmed in simulations. Using the model, we find the ECB program had a beneficial impact on extreme upper tail quantiles, leaning against the risk of extremely adverse market outcomes while active.
dynamic tail risk
observation-driven models
extreme value theory
European Central Bank (ECB)
Securities Markets Programme (SMP)
Document Type: 
Working Paper

Files in This Item:
16.29 MB

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