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Credit Scoring in SME Asset-Backed Securities: An Italian Case Study

机译:中小企业资产支持证券的信用评分:意大利案例研究

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We investigate the default probability, recovery rates and loss distribution of a portfolio ofsecuritised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loanlevel data information provided by the European DataWarehouse platform and employ a logisticregression to estimate the company default probability. We include loan-level default probabilities andrecovery rates to estimate the loss distribution of the underlying assets. We find that bank securitisedloans are less risky, compared to the average bank lending to small and medium enterprises.
机译:我们调查了授予意大利中小企业(SME)的证券化贷款组合的违约概率,回收率和损失分配。为此,我们使用了欧洲数据仓库平台提供的贷款级别数据信息,并采用logistic回归来估计公司的违约概率。我们将贷款级别的违约概率和回收率包括在内,以估算基础资产的损失分布。我们发现,与银行向中小企业的平均贷款相比,银行证券化贷款的风险较小。

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