We study the impact of firm and industry characteristics on small firms’ capital structure, employing a proprietary database containing financial statements of Dutch small and medium-sized enterprises (SMEs) from 2003 to 2005. The firm characteristics suggest that the capital structure decision is consistent with the pecking-order theory: Dutch SMEs use profits to reduce their debt level, and growing firms increase their debt position since they need more funds. We further document that profits reduce in particular short-term debt, whereas growth increases long-term debt. We also find that inter- and intra-industry effects are important in explaining small firms’ capital structure. Industries exhibit different average debt levels, which is in line with the trade-off theory. Furthermore, there is substantial intra-industry heterogeneity, showing that the degree of industry competition, the degree of agency conflicts, and the heterogeneity in employed technology are also important drivers of capital structure.

The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite

indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.

We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.

This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.

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.

There is growing consensus that the conduct of monetary policy can have an impact on financial and economic stability through the risk-taking incentives of banks. Falling interest rates might induce a “search for yield” and generate incentives to invest into risky activities. This paper provides evidence on the link between monetary policy and commercial property prices and the risk-taking incentives of banks. We use a factor-augmented vector autoregressive model (FAVAR) for the U.S. for the years 1997-2008. We include standard macroeconomic indicators and factors summarizing information provided in the Federal Reserve’s Survey of Terms of Business Lending. These data allow modeling the reactions of banks’ new lending volumes and the riskiness of new loans. We do not find evidence for a risk-taking channel for the entire banking system after a monetary policy loosening or an unexpected increase in property prices. This masks, however, important differences across banking groups. Small domestic banks increase their exposure to risk, foreign banks lower risk, and large domestic banks do not change their risk exposure.

Das deutsche Bruttoinlandsprodukt steigt im Jahr 2010 preisbereinigt um 3,7%. Es ist sehr wahrscheinlich, dass sich der Aufschwung in den beiden kommenden Jahren fortsetzen wird und das reale Bruttoinlandsprodukt 2011 um 2,3% und 2012 um 1,7% zulegt. Damit gelingt es der deutschen Wirtschaft, den Aufholprozess nach der weltweiten Finanzkrise als Startrampe für den Aufschwung zu nutzen. Käme es jedoch zu einer weiteren Zuspitzung der europäischen Schulden- und Vertrauenskrise oder wegen der äußerst expansiven Wirtschaftspolitik in den USA zu einem Verlust des Vertrauens in den US-Dollar, würde dies die konjunkturellen Erwartungen erheblich dämpfen. Entscheidend ist jetzt, dass die europäische Wirtschaftspolitik Krisenprävention und Krisenmanagement nachhaltig verbessert.

Die weltwirtschaftliche Erholung setzt sich fort. Die Produktion stieg in den fortgeschrittenen Volkswirtschaften bis in den Herbst 2010 hinein weiter, in den USA sogar wieder etwas beschleunigt. Auch in der Europäischen Union nahm die Produktion deutlich zu – trotz der irischen Krise und umfangreicher Sparpakete in Großbritannien und Spanien. In den meisten Schwellenländern bemühte sich die Wirtschaftspolitik schon das ganze Jahr über, eine Überhitzung zu verhindern, ohne die vielfach hohe Wachstumsdynamik zu beschädigen. Auch deswegen hat sich der Aufschwung insbesondere in Asien seit dem Frühjahr verlangsamt. Für die Wachstumszentren China und Indien sprechen aber Stimmungsindikatoren wieder für ein Anziehen der Konjunktur im Winterhalbjahr. Davon dürften die Nachbarländer, etwa die zuletzt wieder schwächelnde Konjunktur in Japan, profitieren.

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.

Beitrag aus "20 Jahre Deutsche Einheit: Von der Transformation zur europäischen Integration - Tagungsband". Am 1. Juli 1990 trat zwischen der Bundesrepublik Deutschland und der Deutschen Demokratischen Republik die Wirtschafts-, Währungs- und Sozialunion in Kraft. Damit wurde drei Monate vor der politischen Vereinigung, die erst am 3. Oktober vollzogen wurde, die D-Mark als Währung in der DDR eingeführt. Die monetäre Einigung Deutschlands ging also der politischen Einigung voraus. Weniger bekannt ist heute die Tatsache, dass derselbe Tag, an dem die D-Mark in die DDR kam, gleichzeitig auch den Beginn der ersten Stufe der Europäischen Wirtschafts- und Währungsunion markierte, auf deren dritter Stufe später die D-Mark durch die neue europäische Währung, den Euro, ersetzt werden sollte. Wohl wenigen Ostdeutschen war damals bewusst, dass der Einstieg in die D-Mark gleichzeitig der Einstieg in den Ausstieg war.

During capital control episodes, large price deviations between American Depositary Receipts (ADR) and their underlying stocks signal that a currency crisis is about to occur. We interpret this price spread as the price of a call option. Using option pricing theory we derive detailed information about both the probability of a currency crisis and the expected magnitude of devaluation. Analyzing daily ADR market data preceding the Venezuelan crisis (1996), our approach predicts crisis probabilities of almost 100% and forecasts the exchange rate after floating quite accurately. During the Argentine crisis (2002), the estimated exchange rates are similar to the actual ones.