Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market
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oai:localhost:PNK-84372023-05-11T01:49:22Z Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market Maria, Carannante Valeria, D’Amato Paola, Fersini NPLs ML CC BY In this paper, we contribute to the topic of the non-performing loans (NPLs) business profitability on the secondary market by developing machine learning-based due diligence. In particular, a loan became non-performing when the borrower is unlikely to pay, and we use the ability of the ML algorithms to model complex relationships between predictors and outcome variables, we set up an ad hoc dependent random forest regressor algorithm for projecting the recovery rate of a portfolio of the secured NPLs. Indeed the profitability of the transactions under consideration depends on forecast models of the amount of net repayments expected from receivables and related collection times. Finally, the evaluation approach we provide helps to reduce the ”lemon discount” by pricing the risky component of informational asymmetry between better-informed banks and potential investors in particular for higher quality, collateralised NPLs. 2023-05-11T01:49:22Z 2023-05-11T01:49:22Z 2023 Book https://link.springer.com/article/10.1007/s11846-023-00635-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8437 en application/pdf Springer |
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NPLs ML Maria, Carannante Valeria, D’Amato Paola, Fersini Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market |
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CC BY |
format |
Book |
author |
Maria, Carannante Valeria, D’Amato Paola, Fersini |
author_facet |
Maria, Carannante Valeria, D’Amato Paola, Fersini |
author_sort |
Maria, Carannante |
title |
Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market |
title_short |
Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market |
title_full |
Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market |
title_fullStr |
Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market |
title_full_unstemmed |
Machine learning due diligence evaluation to increase NPLs profitability transactions on secondary market |
title_sort |
machine learning due diligence evaluation to increase npls profitability transactions on secondary market |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s11846-023-00635-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8437 |
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1765717597642293248 |
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