Profit Shifting and Tax‐rate Uncertainty
Manthos D. Delis, Iftekhar Hasan, Panagiotis I. Karavitis
Journal of Business Finance and Accounting,
5-6
2020
Abstract
Using firm‐level data for 1,084 parent firms in 24 countries and for 9,497 subsidiaries in 54 countries, we show that tax‐motivated profit shifting is larger among subsidiaries in countries that have stable corporate tax rates over time. Our findings further suggest that firms move away from transfer pricing and toward intragroup debt shifting that has lower adjustment costs. Our results are robust to several identification methods and respecifications, and they highlight the important role of tax‐rate uncertainty in the profit‐shifting decision while pointing to an adjustment away from more costly transfer pricing and toward debt shifting.
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Phillips Curve and Output Expectations: New Perspectives from the Euro Zone
Giuliana Passamani, Alessandro Sardone, Roberto Tamborini
DEM Working Papers,
No. 6,
2020
published in: Empirica
Abstract
When referring to the inflation trends over the last decade, economists speak of "puzzles": a “missing disinflation” puzzle in the aftermath of the Great Recession, and a ”missing inflation” one in the years of recovery to nowadays. To this, a specific "excess deflation" puzzle may be added during the post-crisis depression in the Euro Zone. The standard Phillips Curve model, in this context, has failed as the basic tool to produce reliable forecasts of future price developments, leading many scholars to consider this instrument to be no more adequate. The purpose of this paper is to contribute to this literature through the development of a newly specified Phillips Curve model, in which the inflation-expectation component is rationally related to the business cycle. The model is tested with the Euro Zone data 1999-2019 showing that inflation turns out to be consistently determined by output gaps and and experts' survey-based forecast errors, and that the puzzles can be explained by the interplay between these two variables.
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Democracy and Credit
Manthos D. Delis, Iftekhar Hasan, Steven Ongena
Journal of Financial Economics,
No. 2,
2020
Abstract
Does democratization reduce the cost of credit? Using global syndicated loan data from 1984 to 2014, we find that democratization has a sizable negative effect on loan spreads: a 1-point increase in the zero-to-ten Polity IV index of democracy shaves at least 19 basis points off spreads, but likely more. Reversals to autocracy hike spreads more strongly. Our findings are robust to the comprehensive inclusion of relevant controls, to the instrumentation with regional waves of democratization, and to a battery of other sensitivity tests. We thus highlight the lower cost of loans as one relevant mechanism through which democratization can affect economic development.
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Stress Tests and Small Business Lending
Kristle R. Cortés, Yuliya Demyanyk, Lei Li, Elena Loutskina, Philip E. Strahan
Journal of Financial Economics,
No. 1,
2020
Abstract
Post-crisis stress tests have altered banks’ credit supply to small business. Banks most affected by stress tests reallocate credit away from riskier markets and toward safer ones. They also raise interest rates on small loans. Quantities fall most in high-risk markets where stress-tested banks own no branches, and prices rise mainly where they do. The results suggest that banks price the stress-test induced increase in capital requirements where they have local knowledge, and exit where they do not. Stress tests do not, however, reduce aggregate credit. Small banks seem to increase their share in geographies formerly reliant on stress-tested lenders.
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Tornado Activity, House Price and Stock Returns
Michael Donadelli, Michael Ghisletti, Marcus Jüppner, Antonio Paradiso
North American Journal of Economics and Finance,
April
2020
Abstract
In this paper we investigate the effects of tornado activity on house prices and stock returns in the US. First, using geo-referenced and metropolitan statistical area (MSA)-level data, we find tornado activity to be responsible for a significant drop in house prices. Spillover tornado effects between adjacent MSAs are also detected. Furthermore, our granular analysis provides evidence of tornadoes having a negative impact on stock returns. However, only two sectors seem to contribute to such a negative effect (i.e., consumer discretionary and telecommunications). In a macro-analysis, which relies on aggregate data for the South, West, Midwest and Northeast US regions, we then show that tornado activity generates a significant drop in house prices only in the South and Midwest. In these regions, tornadoes are also responsible for a drop in income. Tornado activity is finally found to positively (negatively) affect stock returns in the Midwest (South). If different sectors are examined, a more heterogeneous picture emerges.
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Managerial Biases and Debt Contract Design: The Case of Syndicated Loans
Tim R. Adam, Valentin Burg, Tobias Scheinert, Daniel Streitz
Management Science,
No. 1,
2020
Abstract
We examine whether managerial overconfidence impacts the use of performance-pricing provisions in loan contracts (performance-sensitive debt [PSD]). Managers with biased views may issue PSD because they consider this form of debt to be mispriced. Our evidence shows that overconfident managers are more likely to issue rate-increasing PSD than regular debt. They choose PSD with steeper performance-pricing schedules than those chosen by rational managers. We reject the possibility that overconfident managers have (persistent) positive private information and use PSD for signaling. Finally, firms seem to benefit less from using PSD ex post if they are managed by overconfident rather than rational managers.
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Does Machine Learning Help us Predict Banking Crises?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Journal of Financial Stability,
December
2019
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 metric, 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 efficiently, 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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Foreign Ownership, Bank Information Environments, and the International Mobility of Corporate Governance
Yiwei Fang, Iftekhar Hasan, Woon Sau Leung, Qingwei Wang
Journal of International Business Studies,
No. 9,
2019
Abstract
This paper investigates how foreign ownership shapes bank information environments. Using a sample of listed banks from 60 countries over 1997–2012, we show that foreign ownership is significantly associated with greater (lower) informativeness (synchronicity) in bank stock prices. We also find that stock returns of foreign-owned banks reflect more information about future earnings. In addition, the positive association between price informativeness and foreign ownership is stronger for foreign-owned banks in countries with stronger governance, stronger banking supervision, and lower monitoring costs. Overall, our evidence suggests that foreign ownership reduces bank opacity by exporting governance, yielding important implications for regulators and governments.
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Total Factor Productivity and the Terms of Trade
Jan Teresinski
IWH-CompNet Discussion Papers,
No. 6,
2019
Abstract
In this paper we analyse how the terms of trade (TOT) – the ratio of export prices to import prices – affect total factor productivity (TFP). We provide empirical macroeconomic evidence for the European Union countries based on the times series SVAR analysis and microeconomic evidence based on industry level data from the Competitiveness Research Network (CompNet) database which shows that the terms of trade improvements are associated with a slowdown in the total factor productivity growth. Next, we build a theoretical model which combines open economy framework with the endogenous growth theory. In the model the terms of trade improvements increase demand for labour employed in exportable goods production at the expense of technology production (research and development – R&D) which leads to a shift of resources from knowledge development towards physical exportable goods. This reallocation has a negative impact on the TFP growth. Under a plausible calibration the model is able to replicate the observed empirical pattern.
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What Drives the Commodity-Sovereign-Risk-Dependence in Emerging Market Economies?
Hannes Böhm, Stefan Eichler, Stefan Gießler
Abstract
Using daily data for 34 emerging markets in the period 1994-2016, we find robust evidence that higher export commodity prices are associated with higher sovereign bond returns (indicating lower sovereign risk). The economic effect is especially pronounced for heavy commodity exporters. Examining the drivers, we find, first, that commodity-dependence is higher for countries that export large volumes of volatile commodities and that the effect increases in times of recessions, high inflation, and expansionary U.S. monetary policy. Second, the importance of raw material prices for sovereign financing can likely be mitigated if a country improves institutions and tax systems, attracts FDI inflows, invests in manufacturing, machinery and infrastructure, builds up reserve assets and opens capital and trade accounts. Third, the concentration of commodities within a country’s portfolio, its government indebtedness or amount of received development assistance appear to be only of secondary importance for commodity-dependence.
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