Mind the Gap: The Difference Between U.S. and European Loan Rates
Tobias Berg, Anthony Saunders, Sascha Steffen, Daniel Streitz
Review of Financial Studies,
Nr. 3,
2017
Abstract
We analyze pricing differences between U.S. and European syndicated loans over the 1992–2014 period. We explicitly distinguish credit lines from term loans. For credit lines, U.S. borrowers pay significantly higher spreads, but lower fees, resulting in similar total costs of borrowing in both markets. Credit line usage is more cyclical in the United States, which provides a rationale for the pricing structure difference. For term loans, we analyze the channels of the cross-country loan price differential and document the importance of: the composition of term loan borrowers and the loan supply by institutional investors and foreign banks.
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The Risk‐Taking Channel of Monetary Policy in the U.S.: Evidence from Corporate Loan Data
Manthos D. Delis, Iftekhar Hasan, Nikolaos Mylonidis
Journal of Money, Credit and Banking,
Nr. 1,
2017
Abstract
To study the presence of a risk-taking channel in the U.S., we build a comprehensive data set from the syndicated corporate loan market and measure monetary policy using different measures, most notably Taylor (1993) and Romer and Romer (2004) residuals. We identify a negative relation between monetary policy rates and bank risk-taking, especially in the run up to the 2007 financial crisis. However, this effect is purely supply-side driven only when using Taylor residuals and an ex ante measure of bank risk-taking. Our results highlight the sensitivity of the potency of the risk-taking channel to the measures of monetary policy innovations.
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Global Food Prices and Monetary Policy in an Emerging Market Economy: The Case of India
Oliver Holtemöller, Sushanta Mallick
Journal of Asian Economics,
2016
Abstract
This paper investigates a perception in the political debates as to what extent poor countries are affected by price movements in the global commodity markets. To test this perception, we use the case of India to establish in a standard SVAR model that global food prices influence aggregate prices and food prices in India. To further analyze these empirical results, we specify a small open economy New-Keynesian model including oil and food prices and estimate it using observed data over the period 1996Q2 to 2013Q2 by applying Bayesian estimation techniques. The results suggest that a big part of the variation in inflation in India is due to cost-push shocks and, mainly during the years 2008 and 2010, also to global food price shocks, after having controlled for exogenous rainfall shocks. We conclude that the inflationary supply shocks (cost-push, oil price, domestic food price and global food price shocks) are important contributors to inflation in India. Since the monetary authority responds to these supply shocks with a higher interest rate which tends to slow growth, this raises concerns about how such output losses can be prevented by reducing exposure to commodity price shocks.
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Lend Global, Fund Local? Price and Funding Cost Margins in Multinational Banking
Rients Galema, Michael Koetter, C. Liesegang
Review of Finance,
Nr. 5,
2016
Abstract
In a proposed model of a multinational bank, interest margins determine local lending by foreign affiliates and the internal funding by parent banks. We exploit detailed parent-affiliate-level data of all German banks to empirically test our theoretical predictions in pre-crisis times. Local lending by affiliates depends negatively on price margins, the difference between lending and deposit rates in foreign markets. The effect of funding cost margins, the gap between local deposit rates faced by affiliates abroad and the funding costs of their parents, on internal capital market funding is positive but statistically weak. Interest margins are central to explain the interaction between internal capital markets and foreign affiliates lending.
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Much Ado About Nothing: Sovereign Ratings and Government Bond Yields in the OECD
Makram El-Shagi
IWH Discussion Papers,
Nr. 22,
2016
Abstract
In this paper, we propose a new method to assess the impact of sovereign ratings on sovereign bond yields. We estimate the impulse response of the interest rate, following a change in the rating. Since ratings are ordinal and moreover extremely persistent, it proves difficult to estimate those impulse response functions using a VAR modeling ratings, yields and other macroeconomic indicators. However, given the highly stochastic nature of the precise timing of ratings, we can treat most rating adjustments as shocks. We thus no longer rely on a VAR for shock identification, making the estimation of the corresponding IRFs well suited for so called local projections – that is estimating impulse response functions through a series of separate direct forecasts over different horizons. Yet, the rare occurrence of ratings makes impulse response functions estimated through that procedure highly sensitive to individual observations, resulting in implausibly volatile impulse responses. We propose an augmentation to restrict jointly estimated local projections in a way that produces economically plausible impulse response functions.
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Taxation, Corruption, and Growth
Philippe Aghion, Ufuk Akcigit, Julia Cagé, William R. Kerr
European Economic Review,
2016
Abstract
We build an endogenous growth model to analyze the relationships between taxation, corruption, and economic growth. Entrepreneurs lie at the center of the model and face disincentive effects from taxation but acquire positive benefits from public infrastructure. Political corruption governs the efficiency with which tax revenues are translated into infrastructure. The model predicts an inverted-U relationship between taxation and growth, with corruption reducing the optimal taxation level. We find evidence consistent with these predictions and the entrepreneurial channel using data from the Longitudinal Business Database of the US Census Bureau. The marginal effect of taxation for growth for a state at the 10th or 25th percentile of corruption is significantly positive; on the other hand, the marginal effects of taxation for growth for a state at the 90th percentile of corruption are much lower across the board. We make progress towards causality through Granger-style tests and by considering periphery counties where effective tax policy is largely driven by bordering states. Finally, we calibrate our model and find that the calibrated taxation rate of 37% is fairly close to the model׳s estimated welfare maximizing taxation rate of 42%. Reducing corruption provides the largest potential impact for welfare gain through its impact on the uses of tax revenues.
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Regional Banking Instability and FOMC Voting
Stefan Eichler, Tom Lähner, Felix Noth
Abstract
This study analyzes if regionally affiliated Federal Open Market Committee (FOMC) members take their districts’ regional banking sector instability into account when they vote. Considering the period from 1978 to 2010, we find that a deterioration in a district’s bank health increases the probability that this district’s representative in the FOMC votes to ease interest rates. According to member-specific characteristics, the effect of regional banking sector instability on FOMC voting behavior is most pronounced for Bank presidents (as opposed to governors) and FOMC members who have career backgrounds in the financial industry or who represent a district with a large banking sector.
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Did TARP Distort Competition Among Sound Unsupported Banks?
Michael Koetter, Felix Noth
Economic Inquiry,
Nr. 2,
2016
Abstract
This study investigates if the Troubled Asset Relief Program (TARP) distorted price competition in U.S. banking. Political indicators reveal bailout expectations after 2009, manifested as beliefs about the predicted probability of receiving equity support relative to failing during the TARP disbursement period. In addition, the TARP affected the competitive conduct of unsupported banks after the program stopped in the fourth quarter of 2009. Loan rates were higher, and the risk premium required by depositors was lower for banks with higher bailout expectations. The interest margins of unsupported banks increased in the immediate aftermath of the TARP disbursement but not after 2010. No effects emerged for loan or deposit growth, which suggests that protected banks did not increase their market shares at the expense of less protected banks.
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