Abstract
AbstractWe propose to study the dynamics of financial contagion by means of a class of point process models employed in the modeling of seismic contagion. The proposal extends network models, recently introduced to model financial contagion, in a space-time point process perspective. The extension helps to improve the assessment of credit risk of an institution, taking into account contagion spillover effects.
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference34 articles.
1. Acharya V, Engle R, Richardson M (2012) Capital shortfall: a new approach to ranking and regulating systemic risks. Am Econ Rev Pap Proc 102(3):59–64
2. Adelfio G, Chiodi M (2015) Alternated estimation in semi-parametric space-time branching-type point processes with application to seismic catalogs. Stoch Environ Res Risk Assess 14:151–186
3. Adrian T, Brunnermeier M (2011) Covar. NBER working paper 17454, National Bureau of Economic Research
4. Agosto A, Cavaliere G, Kristensen D, Rahbek A (2016) Modeling corporate defaults: poisson autoregressions with exogenous covariates (PARX). J Empir Finance 38(B):640–663
5. Ahelegbey D, Billio M, Casarin R (2015) Bayesian graphical models for structural vector autoregressive processes. J Appl Econom 31(2):357–386
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献