Credit scoring in SME asset-backed securities: An Italian case study

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 12 ; Year: 2019 ; Issue: 2 ; Pages: 1-28 ; Basel: MDPI

Classification and Topics

• Classification: Wirtschaft
• Subject: credit scoring ; probability of default ; small and medium enterprises ; asset-backed securities

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Bedin, Andrea ; Billio, Monica ; Costola, Michele ; Pelizzon, Loriana
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2019

Further information

• DOI: doi:10.3390/jrfm12020089
• Handle: http://hdl.handle.net/10419/238968
• Last update: 10.03.2025, 11:43 AM CET