Switching to Exchange Rate Flexibility? The Case of Central and Eastern European Inflation Targeters
Andrej Drygalla
FIW Working Paper,
No. 139,
2015
Abstract
This paper analyzes changes in the monetary policy in the Czech Republic, Hungary, and Poland following the policy shift from exchange rate targeting to inflation targeting around the turn of the millennium. Applying a Markovswitching dynamic stochastic general equilibrium model, switches in the policy parameters and the volatilities of shocks hitting the economies are estimated and quantified. Results indicate the presence of regimes of weak and strong responses of the central banks to exchange rate movements as well as periods of high and low volatility. Whereas all three economies switched to a less volatile regime over time, findings on changes in the policy parameters reveal a lower reaction to exchange rate movements in the Czech Republic and Poland, but an increased attention to it in Hungary. Simulations for the Czech Republic and Poland also suggest their respective central banks, rather than a sound macroeconomic environment, being accountable for reducing volatility in variables like inflation and output. In Hungary, their favorable developments can be attributed to a larger extent to the reduction in the size of external disturbances.
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Business Cylce Effects of the 2014 Oil Price Slump
Andrej Drygalla, Stefan Gießler, Oliver Holtemöller
Wirtschaftskammer Österreich: Wirtschaftspolitische Blätter,
No. 4,
2015
Abstract
Der Ölpreis ist seit der Mitte des Jahres 2014 deutlich gesunken. Die konjunkturellen Effekte von Ölpreisänderungen hängen davon ab, ob nachfrageseitige oder angebotsseitige Ursachen die Preisänderung auslösen. Im vorliegenden Beitrag wird der Ölpreisrückgang seit Mitte des Jahres 2014 in eine konjunkturelle und eine ölmarktspezifische Komponente zerlegt. Anschließend wird mit dem internationalen Konjunkturmodell des IWH analysiert, welchen Beitrag der Ölpreisrückgang zur konjunkturellen Entwicklung seit Mitte des Jahres 2014 geleistet hat und welche Effekte bis zum Ende des Jahres 2016 noch zu erwarten sind. Es werden sowohl ölexportierende (Russland) als auch ölimportierende Länder (G7-Länder und Österreich) betrachtet. Das Bruttoinlandsprodukt wird im betrachteten Länderkreis in den USA und in Japan am stärksten stimuliert, während der Ölpreisfall in Russland das Bruttoinlandsprodukt deutlich dämpft.
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The Impact of Public Guarantees on Bank Risk-taking: Evidence from a Natural Experiment
Reint E. Gropp, C. Gruendl, Andre Guettler
Review of Finance,
No. 2,
2014
Abstract
In 2001, government guarantees for savings banks in Germany were removed following a lawsuit. We use this natural experiment to examine the effect of government guarantees on bank risk-taking. The results suggest that banks whose government guarantee was removed reduced credit risk by cutting off the riskiest borrowers from credit. Using a difference-in-differences approach we show that none of these effects are present in a control group of German banks to whom the guarantee was not applicable. Furthermore, savings banks adjusted their liabilities away from risk-sensitive debt instruments after the removal of the guarantee, while we do not observe this for the control group. We also document that yield spreads of savings banks’ bonds increased significantly right after the announcement of the decision to remove guarantees, while the yield spread of a sample of bonds issued by the control group remained unchanged. The evidence implies that public guarantees may be associated with substantial moral hazard effects.
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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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Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach
T. Buchmann, D. Hain, Muhamed Kudic, M. Müller
IWH Discussion Papers,
No. 1,
2014
Abstract
Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The ‘experience effect’ as well as the ‘transitivity effects’ are significant for both industries but more pronounced for laser manufacturing firms. When it comes to ‘geographical effects’ and ‘technological ef-fects’ the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words, technological heterogeneity seems to ex-plain, at least in science-driven industries, the attractiveness of potential cooperation partners.
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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
No. 9,
2013
Abstract
Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.
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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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Has the Euro Increased International Price Elasticities?
Oliver Holtemöller, Götz Zeddies
Empirica,
No. 1,
2013
Abstract
The introduction of the Euro has been accompanied by the hope that international competition between EMU member states would increase due to higher price transparency. This paper contributes to the literature by analyzing price elasticities in international trade flows between Germany and France and between Germany and the United Kingdom before and after the introduction of the Euro. Using disaggregated Eurostat trade statistics, we adopt a heterogeneous dynamic panel framework for the estimation of price elasticities. We suggest a Kalman-filter approach to control for unobservable quality changes which otherwise would bias estimates of price elasticities. We divide the complete sample, which ranges from 1995 to 2008, into two sub-samples and show that price elasticities in trade between EMU members did not change substantially after the introduction of the Euro. Hence, we do not find evidence for an increase in international price competition resulting from EMU.
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