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  1. Credit scoring in SME asset-backed securities
    an Italian case study
    Erschienen: [2019]
    Verlag:  SAFE, Sustainable Architecture for Finance in Europe, Frankfurt am Main

    We investigate the default probability, recovery rates and loss distribution of a portfolio of securitised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loan level data information provided by the European... mehr

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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    keine Fernleihe
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 431
    keine Fernleihe

     

    We investigate the default probability, recovery rates and loss distribution of a portfolio of securitised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loan level data information provided by the European DataWarehouse platform and employ a logistic regression to estimate the company default probability. We include loan-level default probabilities and recovery rates to estimate the loss distribution of the underlying assets. We find that bank securitised loans are less risky, compared to the average bank lending to small and medium enterprises.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/204824
    Schriftenreihe: SAFE working paper ; no. 262
    Umfang: 1 Online-Ressource (circa 38 Seiten), Illustrationen