Corporate Misconduct and the Cost of Private Debt: Evidence from China
Xian Gu, Iftekhar Hasan, Haitian Lu
Comparative Economic Studies,
No. 3,
2019
Abstract
Using a comprehensive dataset of corporate lawsuits in China, we investigate the implications of corporate misconduct on the cost of private debt. Evidence reveals that firms involved in litigations obtain subsequent loans with stricter pricing terms, 15.1 percent higher loan spreads, than non-litigated borrowers. Strong political connection and repeated relationship help to flatten the sensitivity of loan pricing to litigation. Nonbank financial institutions react in stronger manner to corporate misconduct than traditional banks in pricing loans. Overall, we show that private debt holders care about borrowers’ wrongdoing in the past.
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Aktuelle Trends: Der Rückgang der Exporte nach Russland betrifft alle Bundesländer und ist nur zum Teil durch die Sanktionen der EU gegenüber Russland zu erklären
Oliver Holtemöller, Martina Kämpfe
Wirtschaft im Wandel,
No. 2,
2019
Abstract
In den vergangenen 20 Jahren waren die deutschen Exporte nach Russland in Relation zur gesamten Wertschöpfung zweimal rückläufig: zunächst im Jahr 2009 und dann wieder seit etwa dem Jahr 2012, also bevor die Europäische Union 2014 erstmals Handelssanktionen gegenüber Russland verhängte. Betroffen sind alle Bundesländer, der Rückgang dauert meist bis in die heutige Zeit an. Die Sanktionen dürften nur einen Teil des Rückgangs erklären. Vielmehr schwächte sich die Nachfrage nach Investitions- und Konsumgütern aus Russland mit dem Ölpreisverfall und der damit verbundenen Abwertung des Rubels Ende 2014 deutlich ab. Dies betraf nicht nur Deutschland, sondern beispielsweise auch China, das an Sanktionen gegenüber Russland nicht beteiligt ist. Erst 2016, als der Ölpreis wieder stieg, setzte eine teilweise Erholung der russischen Importe ein.
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Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks
Christiane Baumeister, James D. Hamilton
American Economic Review,
No. 5,
2019
Abstract
Traditional approaches to structural vector autoregressions (VARs) can be viewed as special cases of Bayesian inference arising from very strong prior beliefs. These methods can be generalized with a less restrictive formulation that incorporates uncertainty about the identifying assumptions themselves. We use this approach to revisit the importance of shocks to oil supply and demand. Supply disruptions turn out to be a bigger factor in historical oil price movements and inventory accumulation a smaller factor than implied by earlier estimates. Supply shocks lead to a reduction in global economic activity after a significant lag, whereas shocks to oil demand do not.
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Price-cost Margin and Bargaining Power in the European Union
Ana Cristina Soares
IWH-CompNet Discussion Papers,
No. 4,
2019
Abstract
Using firm-level data between 2004 and 2012 for eleven countries of the European Union (EU), we document the size of product and labour market imperfections within narrowly defined sectors including services which are virtually undocumented. Our findings suggest that perfect competition in both product and labour markets is widely rejected. Levels of the price-cost margin and union bargaining power tend to be higher in some service sectors depicting however substantial heterogeneity. Dispersion within sector and across countries tends to be higher in some services sectors assuming a less tradable nature which suggests that the Single Market integration is partial particularly relaxing the assumption of perfect competition in the labour market. We report also figures for the aggregate economy and show that Eastern countries tend to depict lower product and labour market imperfections compared to other countries in the EU. Also, we provide evidence in favour of a very limited adjustment of both product and labour market imperfections following the international and financial crisis.
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Gute Absicht – böses Ende: Die US-Wohnungspolitik als Brandbeschleuniger der Weltfinanzkrise
Reint E. Gropp, Vahid Saadi
Wirtschaft im Wandel,
No. 1,
2019
Abstract
Der Boom auf dem US-amerikanischen Eigenheimmarkt in den frühen 2000er Jahren führte zur schwersten Finanzkrise der vergangenen Jahrzehnte. Wissenschaftler haben unterschiedliche Faktoren dokumentiert, die zum rasanten Anstieg der Immobilienpreise beigetragen haben. Kaum beleuchtet wurde bisher die Rolle der US-Wohnungspolitik, insbesondere die Förderung des privaten Wohneigentums durch den Community Reinvestment Act (CRA). Der vorliegende Beitrag untersucht die Geschichte dieses Bundesgesetzes und seine Auswirkungen auf den Markt für Hypotheken und Wohneigentum seit den späten 1990er Jahren. Infolge des CRA wurden seit 1998 deutlich mehr Hypotheken aufgenommen. Der Anstieg der Immobilienpreise in der Boomphase beruhte zum Teil auf diesem politisch induzierten Anstieg der Hypothekenvergabe. Der CRA ermöglichte es auch Kreditnehmern mit geringerer Kreditwürdigkeit, eine Hypothek aufzunehmen – in der Folge kam es zu vermehrten Zahlungsausfällen. Der CRA hat also zum Boom-Bust-Zyklus auf dem amerikanischen Immobilienmarkt beigetragen. Er kann als Beispiel einer wohlmeinenden Politik gelten, die unbeabsichtigt wohlfahrtsmindernde Wirkungen zeitigt.
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Resolving the Missing Deflation Puzzle
Jesper Lindé, Mathias Trabandt
Abstract
We propose a resolution of the missing deflation puzzle. Our resolution stresses the importance of nonlinearities in price- and wage-setting when the economy is exposed to large shocks. We show that a nonlinear macroeconomic model with real rigidities resolves the missing deflation puzzle, while a linearized version of the same underlying nonlinear model fails to do so. In addition, our nonlinear model reproduces the skewness of inflation and other macroeconomic variables observed in post-war U.S. data. All told, our results caution against the common practice of using linearized models to study inflation and output dynamics.
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Enforcement of Banking Regulation and the Cost of Borrowing
Yota D. Deli, Manthos D. Delis, Iftekhar Hasan, Liuling Liu
Journal of Banking and Finance,
April
2019
Abstract
We show that borrowing firms benefit substantially from important enforcement actions issued on U.S. banks for safety and soundness reasons. Using hand-collected data on such actions from the main three U.S. regulators and syndicated loan deals over the years 1997–2014, we find that enforcement actions decrease the total cost of borrowing by approximately 22 basis points (or $4.6 million interest for the average loan). We attribute our finding to a competition-reputation effect that works over and above the lower risk of punished banks post-enforcement and survives in a number of sensitivity tests. We also find that this effect persists for approximately four years post-enforcement.
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The Income Elasticity of Mortgage Loan Demand
Manthos D. Delis, Iftekhar Hasan, Chris Tsoumas
Financial Markets, Institutions and Instruments,
Special Issue: 2016 Portsmouth – Fordham Conferenc
2019
Abstract
One explanation for the emergence of the housing market bubble and the subprime crisis is that increases in individuals’ income led to higher increases in the amount of mortgage loans demanded, especially for the middle class. This hypothesis translates to an increase in the income elasticity of mortgage loan demand before 2007. Using applicant‐level data, we test this hypothesis and find that the income elasticity of mortgage loan demand in fact declines in the years before 2007, especially for the mid‐ and lower‐middle income groups. Our finding implies that increases in house prices were not matched by increases in loan applicants’ income.
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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models
Oliver Holtemöller, Christoph Schult
Historical Social Research,
Special Issue: Governing by Numbers
2019
Abstract
In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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