The Corona Recession and Bank Stress in Germany
Reint E. Gropp, Michael Koetter, William McShane
IWH Online,
No. 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.
Read article
Corona Shutdown and Bankruptcy Risk
Oliver Holtemöller, Yaz Gulnur Muradoglu
IWH Online,
No. 3,
2020
Abstract
This paper investigates the consequences of shutdowns during the Corona crisis on the risk of bankruptcy for firms in Germany and United Kingdom. We use financial statements from the period 2014 to 2018 to predict how pervasive risk of bankruptcy becomes for micro, small, medium, and large firms due to shutdown measures. We estimate distress for firms using their capacity to service their debt. Our results indicate that under three months of shutdown almost all firms in shutdown industries face high risk of bankruptcy. In Germany, about 99% of firms in shutdown industries and in the UK about 98% of firms in shutdown industries are predicted to be under distress. The furlough schemes reduce the risk of bankruptcy only marginally to 97% of firms in shutdown industries in Germany and 95% of firms in shutdown industries in the United Kingdom in case of a three-month shutdown. In sectors that are not shutdown under conservative estimates of contagion of sales losses, our results indicate considerable risk of widespread bankruptcies ranging from 76% of firms in Germany to 69% of firms in the United Kingdom. These early findings suggest that the impact of corona crisis on corporate sector via shutdowns can be severe and subsequent policy should be designed accordingly.
Read article
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.
Read article
05.06.2020 • 8/2020
IWH Bankruptcy Update: Increase in large firm bankruptcies
With overall corporate bankruptcies remaining constant, ever more employees are subject to employer bankruptcy in Germany. This is the latest insight from the IWH Bankruptcy Update provided monthly by the Halle Institute for Economic Research (IWH).
Steffen Müller
Read
Managerial Effect or Firm Effect: Evidence from the Private Debt Market
Bill Francis, Iftekhar Hasan, Yun Zhu
Financial Review,
No. 1,
2020
Abstract
This paper provides evidence that the managerial effect is a key determinant of firms’ cost of capital, in the context of private debt contracting. Applying the novel empirical method developed by an earlier study to a large sample that tracks the job movement of top managers, we find that the managerial effect is a critical and significant factor that explains a large part of the variation in loan contract terms more accurately than firm fixed effects. Additional evidence shows that banks “follow” managers when they change jobs and offer loan contracts with preferential terms to their new firms.
Read article
Intangible Capital and Productivity. Firm-level Evidence from German Manufacturing
Wolfhard Kaus, Viktor Slavtchev, Markus Zimmermann
IWH Discussion Papers,
No. 1,
2020
Abstract
We study the importance of intangible capital (R&D, software, patents) for the measurement of productivity using firm-level panel data from German manufacturing. We first document a number of facts on the evolution of intangible investment over time, and its distribution across firms. Aggregate intangible investment increased over time. However, the distribution of intangible investment, even more so than that of physical investment, is heavily right-skewed, with many firms investing nothing or little, and a few firms having very large intensities. Intangible investment is also lumpy. Firms that invest more intensively in intangibles (per capita or as sales share) also tend to be more productive. In a second step, we estimate production functions with and without intangible capital using recent control function approaches to account for the simultaneity of input choice and unobserved productivity shocks. We find a positive output elasticity for research and development (R&D) and, to a lesser extent, software and patent investment. Moreover, the production function estimates show substantial heterogeneity in the output elasticities across industries and firms. While intangible capital has small effects for firms with low intangible intensity, there are strong positive effects for high-intensity firms. Finally, including intangibles in a gross output production function reduces productivity dispersion (measured by the 90-10 decile range) on average by 3%, in some industries as much as nearly 9%.
Read article
Comparing Financial Transparency between For-profit and Nonprofit Suppliers of Public Goods: Evidence from Microfinance
John W. Goodell, Abhinav Goyal, Iftekhar Hasan
Journal of International Financial Markets, Institutions and Money,
January
2020
Abstract
Previous research finds market financing is favored over relationship financing in environments of better governance, since the transaction costs to investors of vetting asymmetric information are thereby reduced. For industries supplying public goods, for-profits rely on market financing, while nonprofits rely on relationships with donors. This suggests that for-profits will be more inclined than nonprofits to improve financial transparency. We examine the impact of for-profit versus nonprofit status on the financial transparency of firms engaged with supplying public goods. There are relatively few industries that have large number of both for-profit and nonprofit firms across countries. However, the microfinance industry provides the opportunity of a large number of both for-profit and nonprofit firms in relatively equal numbers, across a wide array of countries. Consistent with our prediction, we find that financial transparency is positively associated with a for-profit status. Results will be of broad interest both to scholars interested in the roles of transparency and transaction costs on market versus relational financing; as well as to policy makers interested in the impact of for-profit on the supply of public goods, and on the microfinance industry in particular.
Read article
Labor Market Power and the Distorting Effects of International Trade
Matthias Mertens
International Journal of Industrial Organization,
January
2020
Abstract
This article examines how final product trade with China shapes and interacts with labor market imperfections that create market power in labor markets and prevent an efficient market outcome. I develop a framework for measuring such labor market power distortions in monetary terms and document large degrees of these distortions in Germany's manufacturing sector. Import competition only exerts labor market disciplining effects if firms, rather than employees, possess labor market power. Otherwise, increasing export demand and import competition both fortify existing distortions, which decreases labor market efficiency. This widens the gap between potential and realized output and thus diminishes classical gains from trade.
Read article
Spillovers of Asset Purchases Within the Real Sector: Win-Win or Joy and Sorrow?
Talina Sondershaus
IWH Discussion Papers,
No. 22,
2019
Abstract
Events which have an adverse or positive effect on some firms can disseminate through the economy to firms which are not directly affected. By exploiting the first large sovereign bond purchase programme of the ECB, this paper investigates whether more lending to some firms spill over to firms in the surroundings of direct beneficiaries. Firms operating in the same industry and region invest less and reduce employment. The paper shows the importance to consider spillover effects when assessing unconventional monetary policies: Differences between treatment and control groups can be entirely attributed to negative effects on the control group.
Read article
