Outperforming IMF Forecasts by the Use of Leading Indicators
Katja Drechsel, Sebastian Giesen, Axel Lindner
IWH Discussion Papers,
No. 4,
2014
Abstract
This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time dataset for GDP and for the 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 if the publication of the Outlook is only a few months old.
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The Ex Ante versus Ex Post Effect of Public Guarantees
H. Evren Damar, Reint E. Gropp, Adi Mordel
D. Evanoff, C. Holthausen, G. Kaufman and M. Kremer (eds), The Role of Central Banks in Financial Stability: How has it Changed? World Scientific Studies in International Economics 30,
2013
Abstract
In October 2006, Dominion Bond Rating Service (DBRS) introduced new ratings for banks that account for the potential of government support. The rating changes are not a reflection of any changes in the respective banks’ credit fundamentals. We use this natural experiment to evaluate the consequences of bail out expectations for bank behavior using a difference in differences approach. The results suggest a striking difference between the effects of bail out probabilities during calm times (“ex ante”) versus during crisis times (“ex post”). During calm times, higher bail-out probabilities result in higher risk taking, consistent with the moral hazard view and much of the empirical literature. However, in crisis times, we find that banks with higher bail out probabilities tend to increase their risk taking less compared to banks that were ex ante unlikely to be bailed-out. Charter values are one part of the explanation: Supported banks may have a funding advantage relative to non-supported banks during the crisis. However, we cannot rule out that other factors also may be playing a role, including tighter supervision of supported banks in crisis times.
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Reconciling Narrative Monetary Policy Disturbances with Structural VAR Model Shocks?
Martin Kliem, Alexander Kriwoluzky
Economics Letters,
No. 2,
2013
Abstract
Structural VAR studies disagree with narrative accounts about the history of monetary policy disturbances. We investigate whether employing the narrative monetary shocks as a proxy variable in a VAR model aligns both shock series. We find that it does not.
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Has Labor Income Become More Volatile? Evidence from International Industry-Level Data
Claudia M. Buch
German Economic Review,
No. 4,
2013
Abstract
Changes in labor market institutions and the increasing integration of the world economy may affect the volatility of capital and labor incomes. This article documents and analyzes changes in income volatility using data for 11 industrialized countries, 22 industries and 35 years (1970–2004). The article has four main findings. First, the unconditional volatility of labor income has declined in parallel to the decline in macroeconomic volatility. Second, the industry-specific, idiosyncratic component of labor income volatility has hardly changed. Third, cross-sectional heterogeneity is substantial. If anything, the labor incomes of high- and low-skilled workers have become more volatile relative to the volatility of capital incomes. Fourth, the volatility of labor income relative to the volatility of capital income declines in the labor share. Trade openness has no clear-cut impact.
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Granularity in Banking and Growth: Does Financial Openness Matter?
Franziska Bremus, Claudia M. Buch
IWH Discussion Papers,
No. 14,
2013
Abstract
We explore the impact of large banks and of financial openness for aggregate growth. Large banks matter because of granular effects: if markets are very concentrated in terms of the size distribution of banks, idiosyncratic shocks at the bank-level do not cancel out in the aggregate but can affect macroeconomic outcomes. Financial openness may affect GDP growth in and of itself, and it may also influence concentration in banking and thus the impact of bank-specific shocks for the aggregate economy. To test these relationships, we use different measures of de jure and de facto financial openness in a linked micro-macro panel dataset. Our research has three main findings: First, bank-level shocks significantly impact on GDP. Second, financial openness lowers GDP growth. Third, granular effects tend to be stronger in financially closed economies.
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Granularity in Banking and Growth: Does Financial Openness Matter?
Franziska Bremus, Claudia M. Buch
CESifo Working Paper No. 4356, August,
2013
Abstract
We explore the impact of large banks and of financial openness for aggregate growth. Large banks matter because of granular effects: if markets are very concentrated in terms of the size distribution of banks, idiosyncratic shocks at the bank-level do not cancel out in the aggregate but can affect macroeconomic outcomes. Financial openness may affect GDP growth in and of itself, and it may also influence concentration in banking and thus the impact of bank-specific shocks for the aggregate economy. To test these relationships, we use different measures of de jure and de facto financial openness in a linked micro-macro panel dataset. Our research has three main findings: First, bank-level shocks significantly impact on GDP. Second, financial openness lowers GDP growth. Third, granular effects tend to be stronger in financially closed economies.
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Hidden Gems and Borrowers with Dirty Little Secrets: Investment in Soft Information, Borrower Self-Selection and Competition
Reint E. Gropp, C. Gruendl, Andre Guettler
Abstract
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a private signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their privately observed soft information is positive or negative. Competition affects the investment in learning the private signal from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect. Finally, we show that firms where soft information was important in the lending decision were no more likely to default compared to firms where only financial information was used.
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Money and Inflation: Consequences of the Recent Monetary Policy
Makram El-Shagi, Sebastian Giesen
Journal of Policy Modeling,
No. 4,
2013
Abstract
We use a multivariate state space framework to analyze the short run impact of money on prices in the United States. The key contribution of this approach is that it allows to identify the impact of money growth on inflation without having to model money demand explicitly.
Using our results, that provide evidence for a substantial impact of money on prices in the US, we analyze the consequences of the Fed's response to the financial crisis. Our results indicate a raise of US inflation above 5% for more than a decade. Alternative exit strategies that we simulate cannot fully compensate for the monetary pressure without risking serious repercussions on the real economy. Further simulations of a double dip in the United States indicate that a repetition of the unusually expansive monetary policy – in addition to increased inflation – might cause growth losses exceeding the contemporary easing of the crisis.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.
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Islamic Finance in Europe
Pierluigi Caristi, Stéphane Couderc, Angela di Maria, Filippo di Mauro, Beljeet Kaur Grewal, Lauren Ho, Sergio Masciantonio, Steven Ongena, Sajjad Zaher
ECB Occasional Paper,
No. 146,
2013
Abstract
Islamic finance is based on ethical principles in line with Islamic religious law. Despite its low share of the global financial market, Islamic finance has been one of this sector's fastest growing components over the last decades and has gained further momentum in the wake of the financial crisis. The paper examines the development of and possible prospects for Islamic finance, with a special focus on Europe. It compares Islamic and conventional finance, particularly as concerns risks associated with the operations of respective institutions, as well as corporate governance. The paper also analyses empirical evidence comparing Islamic and conventional financial institutions with regard to their: (i) efficiency and profitability; and (ii) stability and resilience. Finally, the paper considers the conduct of monetary policy in an Islamic banking context. This is not uncomplicated given the fact that interest rates - normally a cornerstone of monetary policy - are prohibited under Islamic finance. Liquidity management issues are thus discussed here, with particular reference to the euro area.
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