Borrowers Under Water! Rare Disasters, Regional Banks, and Recovery Lending
Michael Koetter, Felix Noth, Oliver Rehbein
Journal of Financial Intermediation,
July
2020
Abstract
We show that local banks provide corporate recovery lending to firms affected by adverse regional macro shocks. Banks that reside in counties unaffected by the natural disaster that we specify as macro shock increase lending to firms inside affected counties by 3%. Firms domiciled in flooded counties, in turn, increase corporate borrowing by 16% if they are connected to banks in unaffected counties. We find no indication that recovery lending entails excessive risk-taking or rent-seeking. However, within the group of shock-exposed banks, those without access to geographically more diversified interbank markets exhibit more credit risk and less equity capital.
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Employment Effects of Introducing a Minimum Wage: The Case of Germany
Oliver Holtemöller, Felix Pohle
Economic Modelling,
July
2020
Abstract
Income inequality has been a major concern of economic policy makers for several years. Can minimum wages help to mitigate inequality? In 2015, the German government introduced a nationwide statutory minimum wage to reduce income inequality by improving the labour income of low-wage employees. However, the employment effects of wage increases depend on time and region specific conditions and, hence, they cannot be known in advance. Because negative employment effects may offset the income gains for low-wage employees, it is important to evaluate minimum-wage policies empirically. We estimate the employment effects of the German minimum-wage introduction using panel regressions on the state-industry-level. We find a robust negative effect of the minimum wage on marginal and a robust positive effect on regular employment. In terms of the number of jobs, our results imply a negative overall effect. Hence, low-wage employees who are still employed are better off at the expense of those who have lost their jobs due to the minimum wage.
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The Corona Recession and Bank Stress in Germany
Reint E. Gropp, Michael Koetter, William McShane
IWH Online,
Nr. 4,
2020
Abstract
We conduct stress tests for a large sample of German banks across different recoveries from the Corona recession. We find that, depending on how quickly the economy recovers, between 6% to 28% of banks could become distressed from defaulting corporate borrowers alone. Many of these banks are likely to require regulatory intervention or may even fail. Even in our most optimistic scenario, bank capital ratios decline by nearly 24%. The sum of total loans held by distressed banks could plausibly range from 127 to 624 billion Euros and it may take years before the full extent of this stress is observable. Hence, the current recession could result in an acute contraction in lending to the real economy, thereby worsening the current recession , decelerating the recovery, or perhaps even causing a “double dip” recession. Additionally, we show that the corporate portfolio of savings and cooperative banks is more than five times as exposed to small firms as that of commercial banks and Landesbanken. The preliminary evidence indicates small firms are particularly exposed to the current crisis, which implies that cooperative and savings banks are at especially high risk of becoming distressed. Given that the financial difficulties may seriously impair the recovery from the Covid-19 crisis, the pressure to bail out large parts of the banking system will be strong. Recent research suggests that the long run benefits of largely resisting these pressures may be high and could result in a more efficient economy.
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To Securitise or to Price Credit Default Risk?
Huyen Nguyen, Danny McGowan
Abstract
We evaluate if lenders price or securitise mortgages to mitigate credit risk. Exploiting exogenous variation in regional credit risk created by differences in foreclosure law along US state borders, we find that financial institutions respond to the law in heterogeneous ways. In the agency market where Government Sponsored Enterprises (GSEs) provide implicit loan guarantees, lenders transfer credit risk using securitisation and do not price credit risk into mortgage contracts. In the non-agency market, where there is no such guarantee, lenders increase interest rates as they are unable to shift credit risk to loan purchasers. The results inform the debate about the design of loan guarantees, the common interest rate policy, and show that underpricing regional credit risk leads to an increase in the GSEs‘ debt holdings by $79.5 billion per annum, exposing taxpayers to preventable losses in the housing market.
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The Evolution of Monetary Policy in Latin American Economies: Responsiveness to Inflation under Different Degrees of Credibility
Stefan Gießler
IWH Discussion Papers,
Nr. 9,
2020
Abstract
This paper investigates the forward-lookingness of monetary policy related to stabilising inflation over time under different degrees of central bank credibility in the four largest Latin American economies, which experienced a different transition path to the full-fledged inflation targeting regime. The analysis is based on an interest rate-based hybrid monetary policy rule with time-varying coefficients, which captures possible shifts from a backward-looking to a forward-looking monetary policy rule related to inflation stabilisation. The main results show that monetary policy is fully forward-looking and exclusively reacts to expected inflation under nearly perfect central bank credibility. Under a partially credible central bank, monetary policy is both backward-looking and forward-looking in terms of stabilising inflation. Moreover, monetary authorities put increasingly more priority on stabilising expected inflation relative to actual inflation if central bank credibility tends to improve over time.
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Credit Allocation when Borrowers are Economically Linked: An Empirical Analysis of Bank Loans to Corporate Customers
Iftekhar Hasan, Kristina Minnick, Kartik Raman
Journal of Corporate Finance,
June
2020
Abstract
Using detailed loan level data, we examine bank lending to corporate customers relying on principal suppliers. Customers experience larger loan spreads, higher intensity of covenants and greater likelihood of requiring collateral when they depend more on the principal supplier for inputs. The positive association between the customer’s loan spread and its dependence on the principal supplier is less pronounced when the bank has a prior loan outstanding with the principal supplier, and when the bank has higher market share in the industry. Longer relationships between the customer and its principal supplier, and between the bank and the principal supplier, mitigate lending constraints. The evidence is consistent with corporate suppliers serving as an informational bridge between the lender and the customer.
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Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Pacific-Basin Finance Journal,
June
2020
Abstract
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
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Is Social Capital Associated with Corporate Innovation? Evidence from Publicly Listed Firms in the U.S.
Iftekhar Hasan, Chun-Keung (Stan) Hoi, Qiang Wu, Hao Zhang
Journal of Corporate Finance,
June
2020
Abstract
We find that social capital in U.S. counties, as captured by strength of social norms and density of social networks, is positively associated with innovation of firms headquartered in the county, as captured by patents and citations. This relation is robust in fixed-effect regressions, instrumental variable regressions with a Bartik instrument, propensity score matching regressions, and a difference-in-differences design that isolates the effects of over time variations in social capital due to corporate headquarter relocations. Strength of social norms plays a more dominant role than density of social networks in producing these empirical regularities. Cross-sectional evidence indicates the prominence of the contracting channel through which social capital relates to innovation. Additionally, we find that social capital is also positively associated with trademarks and effectiveness of corporate R&D expenditures.
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