Employment Protection and Firm-level Job Reallocation: Adjusting for Coverage
Benedicta Marzinotto, Ladislav Wintr
IWH-CompNet Discussion Papers,
Nr. 5,
2019
Abstract
This paper finds that employment protection legislation (EPL) had a significant impact on employment adjustment in Europe over 2001-2013, once we account for firm-size related exemptions to EPL. We construct a novel coverage-adjusted EPL indicator and find that EPL hinders employment growth at the firm level and increases the share of firms that remain in the same size class. This suggests that stricter EPL restrains job creation because firms fear the costs of shedding jobs during downturns. We do not find evidence that EPL has positive effects on employment by limiting job losses after adverse shocks. In addition to standard controls for the share of credit-constrained firms and the position in the business cycle, we also control for sizerelated corporate tax exemptions and find that these also significantly constrain job creation among incumbent firms.
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A Capital Structure Channel of Monetary Policy
Benjamin Grosse-Rueschkamp, Sascha Steffen, Daniel Streitz
Journal of Financial Economics,
Nr. 2,
2019
Abstract
We study the transmission channels from central banks’ quantitative easing programs via the banking sector when central banks start purchasing corporate bonds. We find evidence consistent with a “capital structure channel” of monetary policy. The announcement of central bank purchases reduces the bond yields of firms whose bonds are eligible for central bank purchases. These firms substitute bank term loans with bond debt, thereby relaxing banks’ lending constraints: banks with low tier-1 ratios and high nonperforming loans increase lending to private (and profitable) firms, which experience a growth in investment. The credit reallocation increases banks’ risk-taking in corporate credit.
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History, Microdata, and Endogenous Growth
Ufuk Akcigit, Tom Nicholas
Annual Review of Economics,
2019
Abstract
The study of economic growth is concerned with long-run changes, and therefore, historical data should be especially influential in informing the development of new theories. In this review, we draw on the recent literature to highlight areas in which study of history has played a particularly prominent role in improving our understanding of growth dynamics. Research at the intersection of historical data, theory, and empirics has the potential to reframe how we think about economic growth in much the same way that historical perspectives helped to shape the first generation of endogenous growth theories.
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Fiscal Policy and Fiscal Fragility: Empirical Evidence from the OECD
Makram El-Shagi, Gregor von Schweinitz
Abstract
In this paper, we use local projections to investigate the impact of consolidation shocks on GDP growth, conditional on the fragility of government finances. Based on a database of fiscal plans in OECD countries, we show that spending shocks are less detrimental than tax-based consolidation. In times of fiscal fragility, our results indicate strongly that governments should consolidate through surprise policy changes rather than announcements of consolidation at a later horizon.
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Private Equity and Financial Fragility During the Crisis
Shai B. Bernstein, Josh Lerner, Filippo Mezzanotti
Review of Financial Studies,
Nr. 4,
2019
Abstract
Does private equity (PE) contribute to financial fragility during economic crises? The proliferation of poorly structured transactions during booms may increase the vulnerability of the economy to downturns. During the 2008 crisis, PE-backed companies decreased investments less than did their peers and experienced greater equity and debt inflows, higher asset growth, and increased market share. These effects are especially strong among financially constrained companies and those whose PE investors had more resources at the crisis onset. In a survey, PE firms report being active investors during the crisis and spending more time working with their portfolio companies.
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A Factor-model Approach for Correlation Scenarios and Correlation Stress Testing
Natalie Packham, Fabian Wöbbeking
Journal of Banking and Finance,
April
2019
Abstract
In 2012, JPMorgan accumulated a USD 6.2 billion loss on a credit derivatives portfolio, the so-called “London Whale”, partly as a consequence of de-correlations of non-perfectly correlated positions that were supposed to hedge each other. Motivated by this case, we devise a factor model for correlations that allows for scenario-based stress testing of correlations. We derive a number of analytical results related to a portfolio of homogeneous assets. Using the concept of Mahalanobis distance, we show how to identify adverse scenarios of correlation risk. In addition, we demonstrate how correlation and volatility stress tests can be combined. As an example, we apply the factor-model approach to the “London Whale” portfolio and determine the value-at-risk impact from correlation changes. Since our findings are particularly relevant for large portfolios, where even small correlation changes can have a large impact, a further application would be to stress test portfolios of central counterparties, which are of systemically relevant size.
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Drivers of Systemic Risk: Do National and European Perspectives Differ?
Claudia M. Buch, Thomas Krause, Lena Tonzer
Journal of International Money and Finance,
March
2019
Abstract
With the establishment of the Banking Union, the European Central Bank has been granted the power to impose stricter regulations than the national regulator if systemic risks are not adequately addressed at the national level. We ask whether there is a cross-border externality in the sense that a bank’s systemic risk differs when applying a national versus a European perspective. On average, banks’ contribution to systemic risk is similar at the two regional levels, and so is the ranking of banks. Generally, larger banks and banks with a lower share of loans are more systemically important. The effects of these variables are qualitatively but not quantitatively similar at the national versus the European level.
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How Do Banks React to Catastrophic Events? Evidence from Hurricane Katrina
Claudia Lambert, Felix Noth, Ulrich Schüwer
Review of Finance,
Nr. 1,
2019
Abstract
This paper explores how banks react to an exogenous shock caused by Hurricane Katrina in 2005, and how the structure of the banking system affects economic development following the shock. Independent banks based in the disaster areas increase their risk-based capital ratios after the hurricane, while those that are part of a bank holding company on average do not. The effect on independent banks mainly comes from the subgroup of highly capitalized banks. These independent and highly capitalized banks increase their holdings in government securities and reduce their total loan exposures to non-financial firms, while also increasing new lending to these firms. With regard to local economic development, affected counties with a relatively large share of independent banks and relatively high average bank capital ratios show higher economic growth than other affected counties following the catastrophic event.
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Banks Response to Higher Capital Requirements: Evidence from a Quasi-natural Experiment
Reint E. Gropp, Thomas Mosk, Steven Ongena, Carlo Wix
Review of Financial Studies,
Nr. 1,
2019
Abstract
We study the impact of higher capital requirements on banks’ balance sheets and their transmission to the real economy. The 2011 EBA capital exercise is an almost ideal quasi-natural experiment to identify this impact with a difference-in-differences matching estimator. We find that treated banks increase their capital ratios by reducing their risk-weighted assets, not by raising their levels of equity, consistent with debt overhang. Banks reduce lending to corporate and retail customers, resulting in lower asset, investment, and sales growth for firms obtaining a larger share of their bank credit from the treated banks.
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For How Long Do IMF Forecasts of World Economic Growth Stay Up-to-date?
Katja Heinisch, Axel Lindner
Applied Economics Letters,
Nr. 3,
2019
Abstract
This study analyses the performance of the International Monetary Fund (IMF) World Economic Outlook output forecasts for the world and for both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current year and the next year, we examine the durability of IMF forecasts, looking at how much time has to pass so that IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time data set for GDP and for indicators, we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts as soon as the publication of the IMF’s Outlook is only a few months old. In particular, there is an obvious gain using leading indicators from January to March for the forecast of the current year.
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