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Year
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Extreme Risks in Financial Markets and Monetary Policies of the Euro-candidates
Hubert Gabrisch, Lucjan T. Orlowski
Comparative Economic Studies, No. 4, 2011
Abstract
This study investigates extreme tail risks in financial markets of the euro-candidate countries and their implications for monetary policies. Our empirical tests show the prevalence of extreme risks in the conditional volatility series of selected financial variables, that is, interbank rates, equity market indexes and exchange rates. We argue that excessive instability of key target and instrument variables should be mitigated by monetary policies. Central banks in these countries will be well-advised to use both standard and unorthodox (discretionary) tools of monetary policy while steering their economies out of the financial crisis and through the euro-convergence process.
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The Impact of Fixed Exchange Rates on Fiscal Discipline
Makram El-Shagi
Scottish Journal of Political Economy, No. 5, 2011
Abstract
In this paper, it is shown that, contrary to standard arguments, fiscal discipline is not substantially enhanced by a fixed exchange rate regime. This study is based on data from 116 countries collected from 1975 to 2004 and uses various estimation techniques for dynamic panel data, in particular a GMM estimation in the tradition Arellano and Bover (1995) and Blundell and Bond (1998). Contrary to previous papers on this topic, the present paper takes into account that the consequences of a new exchange rate regime do not necessarily fully manifest immediately.
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Stock Market-Induced Currency Crises: A New Type of Twins
Stefan Eichler, Dominik Maltritz
Review of Development Economics, No. 2, 2011
Abstract
This paper explores the link between currency crises and the stock market in emerging economies. By integrating foreign stock market investors in a currency crisis model, we reveal a new fundamental inconsistency as a potential crisis trigger: since emerging economies' stock markets often have high returns, whereas central bank reserves grow slowly or decline, the amount of reserves foreign investors can deplete when selling their stocks and repatriating the proceeds grows over time and is considerably higher than funds that have been invested in the stock market. Capital withdrawals of foreign stock market investors can trigger currency crises by depleting central bank reserves, particularly in successful countries with booming stock markets and large foreign investment.
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Central and Eastern European Countries in the Global Financial Crisis: A Typical Twin Crisis?
Diemo Dietrich, Tobias Knedlik, Axel Lindner
Post-Communist Economies, No. 4, 2011
Abstract
This paper shows that during the Great Recession, banking and currency crises occurred simultaneously in Central and Eastern Europe. Events, however, differed widely from what happened during the Asian crisis that usually serves as the model case for the concept of twin crises. We look at three elements that help explaining the nature of events in Central and Eastern Europe: the problem of currency mismatches, the relation between currency and banking crises, and the importance of multinational banks for financial stability. It is shown that theoretical considerations concerning internal capital markets of multinational banks help understand what happened on capital markets and in the financial sector of the region. We discuss opposing effects of multinational banking on financial stability and find that institutional differences are the key to understand differing effects of the global financial crisis. In particular, we argue that it matters if international activities are organized by subsidiaries or by cross-border financial services, how large the share of foreign currency-denominated credit is and whether the exchange rate is fixed or flexible. Based on these three criteria we give an explanation why the pattern of the crisis in the Baltic States differed markedly from that in Poland and the Czech Republic, the two largest countries of the region.
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Flow of Conjunctural Information and Forecast of Euro Area Economic Activity
Katja Drechsel, L. Maurin
Journal of Forecasting, No. 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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Staying, Dropping, or Switching: The Impacts of Bank Mergers on Small Firms
Hans Degryse, Nancy Masschelein, Janet Mitchell
Review of Financial Studies, No. 4, 2011
Abstract
Assessing the impacts of bank mergers on small firms requires separating borrowers with single versus multiple banking relationships and distinguishing the three alternatives of “staying,” “dropping,” and “switching” of relationships. Single-relationship borrowers who “switch” to another bank following a merger will be less harmed than those whose relationship is “dropped” and not replaced. Using Belgian data, we find that single-relationship borrowers of target banks are more likely than other borrowers to be dropped. We track postmerger performance and show that many dropped target-bank borrowers are harmed by the merger. Multiple-relationship borrowers are less harmed, as they can better hedge against relationship discontinuations.
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Distance Functions for Matching in Small Samples
Eva Dettmann, Christian Schmeißer, Claudia Becker
Computational Statistics & Data Analysis, No. 5, 2011
Abstract
The development of ‘standards’ for the application of matching algorithms in empirical evaluation studies is still an outstanding goal. The first step of the matching procedure is the choice of an appropriate distance function. In empirical evaluation situations often the sample sizes are small. Moreover, they consist of variables with different scale levels which have to be considered explicitly in the matching process. A simulation is performed which is directed towards these empirical challenges and supplements former studies in this respect. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametric scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better choice for summarising similarities in differently scaled variables compared to the commonly used measures.
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What Drives FDI in Central-eastern Europe? Evidence from the IWH-FDI-Micro Database
Andrea Gauselmann, Mark Knell, Johannes Stephan
Post-Communist Economies, No. 3, 2011
Abstract
The focus of this paper is on the match between strategic motives of foreign investments into Central-Eastern Europe and locational advantages offered by these countries. Our analysis makes use of the IWH-FDI-Micro Database, a unique dataset that contains information from 2009 about the determinants of locational factors, technological activity of the subsidiaries, and the potentials for knowledge spillovers in the Czech Republic, Hungary, Poland, Romania, and Slovakia. The analysis suggests that investors in these countries are mainly interested in low (unit) labour costs coupled with a well-trained and educated workforce and an expanding market with the high growth rates in the purchasing power of potential buyers. It also suggests that the financial crisis reduced the attractiveness of the region as a source for localised knowledge and technology. There appears to be a match between investors’ expectations and the quantitative supply of unqualified labour, not however for the supply of medium qualified workers. But the analysis suggests that it is not technology-seeking investments that are particularly content with the capabilities of their host economies in terms of technological cooperation. Finally, technological cooperation within the local host economy is assessed more favourably with domestic firms than with local scientific institutions – an important message for domestic economic policy.
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An Introduction to the IWH FDI Micro Database
Jutta Günther, Andrea Gauselmann, Philipp Marek, Johannes Stephan, Björn Jindra
Schmollers Jahrbuch, No. 3, 2011
Abstract
Der Beitrag stellt die IWH-FDI-Mikrodatenbank vor. Er beschreibt die konzeptionellen Ideen der Datenbank und wie sich die Datenbank von anderen, existierenden Mikrodaten zu ausländischen Direktinvestitionen unterscheidet. Seit 2007 werden im Rahmen der IWH-FDI-Mikrodatenbank auf Unternehmensebene Informationen gesammelt zur allgemeinen Geschäftsentwicklung, zu technologischen Aktivitäten und zu Informationen über die konzerninternen Governancestrukturen. Die Daten werden bei den ausländischen Tochtergesellschaften multinationaler Unternehmen in Ostdeutschland und Osteuropa erhoben. Der Beitrag zeigt auf, welche Forschungslücken mit dem Datensatz bisher geschlossen wurden und schließt mit einem Ausblick bezüglich zukünftiger Forschungspotentiale.
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The Term Structure of Banking Crisis Risk in the United States: A Market Data Based Compound Option Approach
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance, No. 4, 2011
Abstract
We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.
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