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Using a unique proprietary dataset from a large European commercial bank containing granular loan-level information on credit lines to mid-corporate firms, we investigate the bank's decisions to allow firms to retain existing credit at a time of acute financial instability. Our results highlight the importance of bank-firm relationships during crisis times. Existing borrowers who actively used their credit lines were not rationed, unless they posed an increased credit risk. We do not find evidence of evergreening practices. [ABSTRACT FROM AUTHOR]

With the emergence of Fintech lending, small firms can benefit from new channels of financing. In this setting, the creditworthiness and the decision to extend credit are often based on standardized and advanced machine-learning techniques that employ limited information. This paper investigates the ability of machine learning to correctly predict credit risk ratings for small firms. By employing a unique proprietary dataset on invoice lending activities, this paper shows that machine learning techniques overperform traditional techniques, such as probit, when the set of information available to lenders is limited. This paper contributes to the understanding of the reliability of advanced credit scoring techniques in the lending process to small businesses, making it a special interesting case for the Fintech environment. [ABSTRACT FROM AUTHOR]

I investigate the impact of securitization on the risk-taking by bank holding companies (BHCs). For 2001 to 2017, I find a negative relationship between securitization and the risk appetite of BHCs. I find a negative relationship between securitization and the risk appetite of BHCs that is consistent with the recourse hypothesis of securitization. I also discover that the equilibrium in this relationship changes from the pre-crisis to the crisis period (crisis effect). This crisis effect hampers BHCs' ability to engage in securitization that leads them to accumulate more risky assets on their books due to the deteriorated quality of their loan portfolios. This equilibrium then reverses after the crisis (post-crisis effect) due to policy makers' response to the excessive risk-taking that manifested during the crisis. Moreover, I find that the securitization of residential mortgages not only boosts the recourse hypothesis but also triggers the crisis effect. My findings provide novel empirical insights into the different nexuses between the securitization and risk appetite of BHCs around the financial crisis. [ABSTRACT FROM AUTHOR]

The economic impact of the COVID-19 pandemic placed many small businesses across the US in financial distress. In response to this, in March 2020 the US government introduced, as part of the CARES Act, the Paycheck Protection Program (PPP) intended to provide relief to small businesses and to preserve jobs during the pandemic. The latter resulted in three waves of funding distributed to small businesses through SBA approved lenders, mainly represented by US banks. By using a panel dataset of 4610 banks over the period Q1 2019–Q4 2020 and by employing a difference-in-differences approach (DiD), I investigate whether participation in the Paycheck Protection Program affected community banks' credit risk-taking behaviour in the post-PPP period, compared to their non-community banking counterparts in the US. I find that the Paycheck Protection Program led community banks to decrease their risk appetite outside of the program relative to non-community banks, consistent with their greater exposure to the commercial real estate sector, heavily hit by the pandemic. My results are robust to a battery of robustness tests and identification strategies. In this research article, I offer novel evidence on the indirect impact of the Paycheck Protection Program as a government-funded stimulus program administered through banks by investigating the indirect effect of the Paycheck Protection Program on the risk-taking of US community banks that dominate lending of PPP loans as a result of their competitive advantage in soft information-intensive small business lending. Such evidence is informative to policymakers as they weigh the merits of various program options to combat the economic damage imposed by the COVID-19 pandemic and as they consider the design of economic stimulus programs in response to future economic crises. [ABSTRACT FROM AUTHOR]

By exploiting a unique and proprietary panel dataset comprising 6480 Italian SMEs having a relationship with 99 cooperative banks over the period 2008–2014, we investigate the influence of the trade credit channel on firm investment decisions in the Italian market, distinguished by a considerable presence of relationship cooperative banks' branches with a heterogeneous geographical distribution. Firstly, our findings confirm a significant influence of the trade credit channel on firm investment decisions. Secondly, we document that SMEs located in those Italian provinces with an abundance of cooperative banks' branches rely less on trade credit to finance investments. Lastly, we show that longer firm-bank relationships decrease firm dependence on trade credit to boost investments. Our study is of particular relevance because it strengthens the effectiveness of the trade credit channel for SMEs in spurring corporate investments. Indeed, fostering a deep understanding of the real effects of firm financing sources is paramount to encourage investment by SMEs and to allow them to preserve their positioning in the market. Moreover, we exploit the Italian market, well-suited to perform such an analysis, since it is characterized by more inter-personal financing relationships as compared to other countries. [ABSTRACT FROM AUTHOR]