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Least Impulse Response Estimator for Stress Test Exercises ; Least impulse response estimator for stress test exercises

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  • معلومة اضافية
    • Contributors:
      Centre de Recherche en Économie et Statistique (CREST); Ecole Nationale de la Statistique et de l'Analyse de l'Information Bruz (ENSAI)-École polytechnique (X)-École Nationale de la Statistique et de l'Administration Économique (ENSAE Paris)-Centre National de la Recherche Scientifique (CNRS); Toulouse School of Economics (TSE-R); Université Toulouse Capitole (UT Capitole); Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS); Centre d'Economie de l'Université Paris Nord (CEPN); Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-Centre National de la Recherche Scientifique (CNRS)
    • بيانات النشر:
      HAL CCSD
      Elsevier
    • الموضوع:
      2019
    • Collection:
      GENES (Groupe des Écoles Nationales d'Économie et Statistique): HAL
    • نبذة مختصرة :
      International audience ; 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.
    • Relation:
      hal-02419030; https://hal.science/hal-02419030; https://hal.science/hal-02419030/document; https://hal.science/hal-02419030/file/LIR.pdf
    • الرقم المعرف:
      10.1016/j.jbankfin.2019.03.021
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.85FBA7BE