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Return of the NPLs to the bright side: which Unlikely to Pay firms are more likely to pay?

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  • Massimiliano Affinito

    (Bank of Italy)

  • Giorgio Meucci

    (Bank of Italy)

Abstract

Unlikely to pay loans (UTPs) are non-performing loans (NPLs) that have a non-zero probability of returning to the performing state. This paper draws on Italian Central Credit Register data on the entire population of Italian UTP firms from 2005 to 2019, matched with firm and bank balance sheet data, to detect the characteristics of UTP firms that have returned to the performing state. During the crises, even in the most acute phases, the share of UTP firms returning to the performing state has never been negligible. This suggests that the analysis of the factors most closely related to the return of UTP firms to the performing state could also provide policy guidance during the pandemic. Our results show that the factors that have a stronger statistical and economic correlation with the probability of a UTP firm recovering are (negatively) its size and the absolute value of its debt, and (positively) its capital. Results are strongly heterogeneous over time and across economic sectors and Italian regions. Lending bank characteristics matter, but less than firm characteristics.

Suggested Citation

  • Massimiliano Affinito & Giorgio Meucci, 2021. "Return of the NPLs to the bright side: which Unlikely to Pay firms are more likely to pay?," Questioni di Economia e Finanza (Occasional Papers) 601, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_601_21
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    References listed on IDEAS

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    Cited by:

    1. Massimiliano Affinito & Fabiana Sabatini & Massimiliano Stacchini, 2021. "Collateral in bank lending during the financial crises:a borrower and a lender story," Temi di discussione (Economic working papers) 1352, Bank of Italy, Economic Research and International Relations Area.

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    More about this item

    Keywords

    non-performing loans; firm distress; firm recovery;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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