What Might Central Banks Lose or Gain in Case of Euro Adoption – A GARCH-Analysis of Money Market Rates for Sweden, Denmark and the UK
Herbert S. Buscher, Hubert Gabrisch
IWH Discussion Papers,
Nr. 9,
2011
Abstract
This study deals with the question whether the central banks of Sweden, Denmark and the UK can really influence short-term money markets and thus, would lose this influence in case of Euro adoption. We use a GARCH-M-GED model with daily money market rates. The model reveals the co-movement between the Euribor and the shortterm interest rates in these three countries. A high degree of co-movement might be seen as an argument for a weak impact of the central bank on its money markets. But this argument might only hold for tranquil times. Our approach reveals, in addition, whether there is a specific reaction of the money markets in turbulent times. Our finding is that the policy of the European Central Bank (ECB) has indeed a significant impact on the three money market rates, and there is no specific benefit for these countries to stay outside the Euro area. However, the GARCH-M-GED model further reveals risk divergence and unstable volatilities of risk in the case of adverse monetary shocks to the economy for Sweden and Denmark, compared to the Euro area. We conclude that the danger of adverse monetary developments cannot be addressed by a common monetary
policy for these both countries, and this can be seen as an argument to stay outside the Euro area.
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Consumption and Income in the Euro Area: Empirical Evidence Based on Panel Cointegration Methods
Christian Dreger, Hans-Eggert Reimers
Einzelveröffentlichungen,
Nr. 1,
2005
Abstract
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Aggregation of National Data and Stability of Euro Area Money Demand
Oliver Holtemöller
Einzelveröffentlichungen,
Nr. 4,
2004
Abstract
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Flow of Conjunctural Information and Forecast of Euro Area Economic Activity
Katja Drechsel, L. Maurin
Journal of Forecasting,
Nr. 3,
2011
Abstract
Combining forecasts, we analyse the role of information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A dataset of 114 monthly indicators is set up and simple bridge equations are estimated. The individual forecasts are then pooled, using different weighting schemes. To take into consideration the release calendar of each indicator, six forecasts are compiled successively during the quarter. We found that the sequencing of information determines the weight allocated to each block of indicators, especially when the first month of hard data becomes available. This conclusion extends the findings of the recent literature. Moreover, when combining forecasts, two weighting schemes are found to outperform the equal weighting scheme in almost all cases. Compared to an AR forecast, these improve by more than 40% the forecast performance for GDP in the current and next quarter.
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Inflation and Relative Price Variability in the Euro Area: Evidence from a Panel Threshold Model
Dieter Nautz, Juliane Scharff
Applied Economics,
Nr. 4,
2012
Abstract
The impact of inflation on Relative Price Variability (RPV) generates an important channel for real effects of inflation. This article provides first evidence on the empirical relation between inflation and RPV in the euro area. Stirred by the widespread use of inflation caps or target bands in monetary policy practice, we are particularly interested in threshold effects of inflation. In line with the predictions of monetary search models, our results indicate that expected inflation significantly increases RPV only if inflation is either very low (below 0.95% per annum (p.a.)) or very high (above 4.96% p.a.).
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Exploring the Economic Convergence in the EU New Member States by Using Nonparametric Models
Monica Raileanu Szeles
IWH Discussion Papers,
Nr. 2,
2011
Abstract
This paper analyzes the process of real economic convergence in the New Member States (NMS) bein g formerly centrally planned economies, using nonparametric methods instead of conventional parametric measurement tools like beta and sigma models. This methodological framework allows the examining of the relative income distribution in different periods of time, the number of modes of the density distribution, the existence of “convergence clubs” in the distribution and the hypothesis of convergence at a single point in time. The modality tests (e.g. the ASH-WARPing procedure) and stochastic kernel are nonparametric techniques used in the empirical part of the study to examine the income distribution in the NMS area. Additionally, random effects panel regressions are used, but only for comparison reasons. The main findings of the paper are the bimodality of the income density distribution over time and across countries, and the presence of convergence clubs in the income distribution from 1995 to 2008. The findings suggest a lack of absolute convergence in the long term (1995-2008) and also when looking only from 2003 onwards. The paper concludes that, in comparison with the parametrical approach, the nonparametric one gives a deeper, real and richer perspective on the process of real convergence in the NMS area.
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Macroeconomic Challenges in the Euro Area and the Acceding Countries
Katja Drechsel
Dissertation, Fachbereich Wirtschaftswissenschaften der Universität Osnabrück,
2010
Abstract
deutscher Titel: Makroökonomische Herausforderungen für die Eurozone und die Beitrittskandidaten
Abstract: The conduct of effective economic policy faces a multiplicity of macroeconomic challenges, which requires a wide scope of theoretical and empirical analyses. With a focus on the European Union, this doctoral dissertation consists of two parts which make empirical and methodological contributions to the literature on forecasting real economic activity and on the analysis of business cycles in a boom-bust framework in the light of the EMU enlargement. In the first part, we tackle the problem of publication lags and analyse the role of the information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A huge dataset of monthly indicators is used to estimate simple bridge equations. The individual forecasts are then pooled, using different weighting schemes. To take into consideration the release calendar of each indicator, six forecasts are compiled successively during the quarter. We find that the sequencing of information determines the weight allocated to each block of indicators, especially when the first month of hard data becomes available. This conclusion extends the findings of the recent literature. Moreover, when combining forecasts, two weighting schemes are found to outperform the equal weighting scheme in almost all cases. In the second part, we focus on the potential accession of the new EU Member States in Central and Eastern Europe to the euro area. In contrast to the discussion of Optimum Currency Areas, we follow a non-standard approach for the discussion on abandonment of national currencies the boom-bust theory. We analyse whether evidence for boom-bust cycles is given and draw conclusions whether these countries should join the EMU in the near future. Using a broad range of data sets and empirical methods we document credit market imperfections, comprising asymmetric financing opportunities across sectors, excess foreign currency liabilities and contract enforceability problems both at macro and micro level. Furthermore, we depart from the standard analysis of comovements of business cycles among countries and rather consider long-run and short-run comovements across sectors. While the results differ across countries, we find evidence for credit market imperfections in Central and Eastern Europe and different sectoral reactions to shocks. This gives favour for the assessment of the potential euro accession using this supplementary, non-standard approach.
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