Cross-Subsidization of Bad Credit in a Lending Crisis
Nikolaos Artavanis, Brian Lee, Stavros Panageas, Margarita Tsoutsoura
Review of Financial Studies,
Nr. 5,
2025
Abstract
We study the corporate-loan pricing decisions of a major, systemic bank during the Greek financial crisis. A unique aspect of our data set is that we observe both the actual interest rate and the “break-even rate” (BE rate) of each loan, as computed by the bank’s own loan-pricing department (in effect, the loan’s marginal cost). We document that low-BE-rate (safer) borrowers are charged significant markups, whereas high-BE-rate (riskier) borrowers are charged smaller and even negative markups. We rationalize this de facto cross-subsidization through the lens of a dynamic model featuring depressed collateral values, impaired capital-market access, and limit pricing.
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Cultural Values of Parent Bank Board Members and Lending by Foreign Subsidiaries: The Moderating Role of Personal Traits
Iftekhar Hasan, Krzysztof Jackowicz, Oskar Kowalewski, Łukasz Kozłowski
Journal of International Financial Markets, Institutions and Money,
March
2023
Abstract
In this study, we investigate whether the cultural values of a parent bank’s board members affect lending by the bank’s foreign subsidiaries and how this influence is moderated by the board members’ personal traits. Using a new dataset on foreign-owned banks and their parent companies, we find that average individualism, uncertainty avoidance, and indulgence within parent bank boards significantly impact lending by foreign subsidiaries. We establish that different sensitivities of female and male directors modify the relevance of individual cultural dimensions in lending by foreign bank subsidiaries. Moreover, we show that parent bank directors’ cultural values have a stronger impact on lending by the bank’s foreign subsidiaries when those directors have enough time to fulfill their duties and possess higher ownership stakes in the parent companies.
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BigTech Credit, Small Business, and Monetary Policy Transmission: Theory and Evidence
Yiping Huang, Xiang Li, Han Qiu, Dan Su, Changhua Yu
IWH Discussion Papers,
Nr. 18,
2022
Abstract
This paper provides both theoretical and empirical analyses of the differences between BigTech lenders and traditional banks in response to monetary policy changes. Our model integrates Knightian uncertainty into portfolio selection and posits that BigTech lenders possess a diminishing informational advantage with increasing firm size, resulting in reduced ambiguity when lending to smaller firms. The model suggests that the key distinction between BigTech lenders and traditional banks in response to shifts in funding costs, triggered by monetary policy changes, is more evident at the extensive margin rather than the intensive margin, particularly during periods of easing monetary policy. Using a micro-level dataset of small business loans from both types of lenders, we provide empirical support for our theoretical propositions. Our results show that BigTech lenders are more responsive in establishing new lending relationships in an easing monetary policy environment, while the differences in loan amounts are not statistically significant. We also discuss other loan terms and the implications of regulatory policies.
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Das Potenzial von Bankkreditspreads für die Konjunkturprognose
Daniel Streitz
Wirtschaft im Wandel,
Nr. 2,
2022
Abstract
Prognosemodelle für die zukünftige wirtschaftliche Entwicklung verwenden häufig marktbasierte Indikatoren wie Spreads von Unternehmensanleihen, die den Risikoaufschlag gegenüber einem Referenzzins angeben. Anleihespreads bilden jedoch nur die Entwicklung von Risiken für Unternehmen ab, die regelmäßig Anleihen emittieren – im Durchschnitt größere, sichere Firmen. Neuartige Daten zu Bankkrediten, die im Sekundärmarkt gehandelt werden, erlauben auch die Konstruktion von Kreditspreads. Kreditmarktdaten umfassen ein breiteres Spektrum an Firmen, inklusive kleinerer Firmen, die stärker von Finanzmarktfriktionen betroffen sind. Tests zeigen, dass Kreditspreads tatsächlich mehr Informationen über wirtschaftliche Entwicklungen beinhalten als Anleihespreads und daher das Potenzial haben, Prognosemodelle zu verbessern.
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Climate Change-Related Regulatory Risks and Bank Lending
Isabella Müller, Eleonora Sfrappini
ECB Working Paper,
Nr. 2670,
2022
Abstract
We identify the effect of climate change-related regulatory risks on credit real-location. Our evidence suggests that effects depend borrower's region. Following an increase in salience of regulatory risks, banks reallocate credit to US firms that could be negatively impacted by regulatory interventions. Conversely, in Europe, banks lend more to firms that could benefit from environmental regulation. The effect is moderated by banks' own loan portfolio composition. Banks with a portfolio tilted towards firms that could be negatively a affected by environmental policies increasingly support these firms. Overall, our results indicate that financial implications of regulation associated with climate change appear to be the main drivers of banks' behavior.
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The Role of State-owned Banks in Crises: Evidence from German Banks During COVID-19
Xiang Li
IWH Discussion Papers,
Nr. 6,
2022
Abstract
By adopting a difference-in-differences specification combined with propensity score matching, I provide evidence using the microdata of German banks that stateowned savings banks have lent less than credit cooperatives during the COVID-19 crisis. In particular, the weaker lending effects of state-owned banks are pronounced for long-term and nonrevolving loans but insignificant for short-term and revolving loans. Moreover, the negative impact of government ownership is larger for borrowers who are more exposed to the COVID-19 shock and in regions where the ruling parties are longer in office and more positioned on the right side of the political spectrum.
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Banks Credit and Productivity Growth
Fadi Hassan, Filippo di Mauro, Gianmarco Ottaviano
ECB Working Paper,
Nr. 2008,
2017
Abstract
Financial institutions are key to allocate capital to its most productive uses. In order to examine the relationship between productivity and bank credit in the context of different financial market set-ups, we introduce a model of overlapping generations of entrepreneurs under complete and incomplete credit markets. Then, we exploit firm-level data for France, Germany and Italy to explore the relation between bank credit and productivity following the main derivations of the model. We estimate an extended set of elasticities of bank credit with respect to a series of productivity measures of firms. We focus not only on the elasticity between bank credit and productivity during the same year, but also on the elasticity between credit and future realised productivity. Our estimates show a clear Eurozone core-periphery divide, the elasticities between credit and productivity estimated in France and Germany are consistent with complete markets, whereas in Italy they are consistent with incomplete markets. The implication is that in Italy firms turn to be constrained in their long-term investments and bank credit is allocated less efficiently than in France and Germany. Hence capital misallocation by banks can be a key driver of the long-standing slow productivity growth that characterises Italy and other periphery countries.
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Measuring Income Tax Evasion Using Bank Credit: Evidence from Greece
Nikolaos Artavanis, Adair Morse, Margarita Tsoutsoura
Quarterly Journal of Economics,
Nr. 2,
2016
Abstract
We document that in semiformal economies, banks lend to tax-evading individuals based on the bank’s assessment of the individual’s true income. This observation leads to a novel approach to estimate tax evasion. We use microdata on household credit from a Greek bank and replicate the bank underwriting model to infer the banks estimate of individuals’ true income. We estimate that 43–45% of self-employed income goes unreported and thus untaxed. For 2009, this implies €28.2 billion of unreported income, implying forgone tax revenues of over €11 billion or 30% of the deficit. Our method innovation allows for estimating the industry distribution of tax evasion in settings where uncovering the incidence of hidden cash transactions is difficult using other methods. Primary tax-evading industries are professional services—medicine, law, engineering, education, and media. We conclude with evidence that contemplates the importance of institutions, paper trail, and political willpower for the persistence of tax evasion.
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