Least Impulse Response Estimator for Stress Test Exercises

Least impulse response estimator for stress test exercises

Christian Gouriéroux (1, 2) , Yang Lu (3)

1 CREST - Centre de Recherche en Économie et Statistique
2 TSE-R - Toulouse School of Economics
3 CEPN - Centre d'Economie de l'Université Paris Nord

We introduce new semi-parametric models for the analysis of rates and proportions, such as proportions of default, (expected) loss-given-default and credit conversion factor encountered in credit risk analysis. These models are especially convenient for the stress test exercises demanded in the current prudential regulation. We show that the Least Impulse Response Estimator, which minimizes the estimated effect of a stress, leads to consistent parameter estimates. The new models with their associated estimation method are compared with the other approaches currently proposed in the literature such as the beta and logistic regressions. The approach is illustrated by both simulation experiments and the case study of a retail P2P lending portfolio.

Domaines: Économie et finance quantitative [q-fin]

Christian Gouriéroux, Yang Lu. Least Impulse Response Estimator for Stress Test Exercises. Journal of Banking and Finance, 2019, 103, pp.62-77. ⟨10.1016/j.jbankfin.2019.03.021⟩. ⟨hal-02419030⟩