Die Entwicklung der Corporate Governance deutscher Banken seit 1950
R. H. Schmidt, Felix Noth
Bankhistorisches Archiv,
No. 2,
2011
Abstract
The present paper gives an overview of the development of Corporate Governance of German banks since the 1950s. The focus will be on economic analysis. The most striking changes in Corporate Governance occurred with the ownership structure of commercial banks, in particular with the major joint-stock banks. In addition to that, the capital market has become a core element of Corporate Governance in all major German banks, which have replaced their prior concentration on the interests of a broadly defined circle of stakeholders by a one-sided concentration on shareholders’ interests. In contrast, with savings banks and cooperative cooperative banks, Corporate Governance has remained unchanged for the most part. Exceptions to this are the regional state banks: in their case, after they had turned away from traditional business models and in particular following the discontinuation of the guarantee obligation, the problems of their Corporate Governance, which were already discernible beforehand, became quite obvious. If you include the financial crisis, beginning in 2007, in the analysis, it becomes evident that it was precisely a Corporate Governance unilaterally geared to shareholders’ interest and the efficiency of the capital market that materially contributed to the evolution and widening of the crisis.
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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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Deutschland im Aufschwung - Wirtschaftspolitik vor wichtigen Entscheidungen: Gemeinschaftsdiagnose Herbst 2010
Dienstleistungsauftrag des Bundesministeriums für Wirtschaft und Technologie,
2010
Abstract
Die deutsche Wirtschaft befindet sich im Aufschwung. Die Institute prognostizieren eine Zunahme des realen Bruttoinlandsprodukts um 3,5 % für das Jahr 2010 und um 2,0 % für das Jahr 2011. Die Lage am Arbeitsmarkt wird sich dabei weiter verbessern. Die Zahl der Arbeitslosen dürfte im Jahresdurchschnitt 2011 erstmals seit 1992 unter 3 Millionen liegen. Die Defizitquote des Staates dürfte auf 2,7 % sinken. Die Wirtschaftspolitik in Deutschland muss den angekündigten Konsolidierungspfad weitergehen. Auf europäischer Ebene sind Insolvenzordnungen für Staaten und Banken erforderlich. Ein strengerer Stabilitäts- und Wachstumspakt könnte als ergänzende Maßnahme sinnvoll sein. Eine Verlängerung des Rettungsschirms für Euroländer oder die Einführung von gepoolten Staatsanleihen sind dagegen genauso abzulehnen wie der von der EU-Kommission vorgeschlagene Mechanismus zur Vermeidung und Korrektur makroökonomischer Ungleichgewichte.
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04.06.2010 • 30/2010
Gemeinschaftsdiagnose: IWH-Forscher weiter im Kreis der führenden Konjunkturexperten
Das Institut für Wirtschaftsforschung Halle (IWH) wird auch in den kommenden drei Jahren an dem gemeinsamen Konjunkturgutachten der Wirtschaftsforschungsinstitute für die Bundesregierung mitarbeiten. Am Donnerstag verkündete das Bundeswirtschaftsministerium die Entscheidung zugunsten der Bietergemeinschaft des IWH mit dem neuen Partner, der Kiel Economics Research & Forecasting GmbH & Co. KG. Ebenfalls beteiligt sind das ifo Institut für Wirtschaftsforschung e. V. an der Universität München gemeinsam mit der Konjunkturforschungsstelle an der ETH Zürich KOF, das Institut für Weltwirtschaft an der Universität Kiel gemeinsam mit dem Zentrum für Europäische Wirtschaftsforschung GmbH Mannheim und das Rheinisch-Westfälische Institut für Wirtschaftsforschung e. V. Essen mit dem Institut für Höhere Studien Wien.
Oliver Holtemöller
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Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
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A First Look on the New Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Abstract
In this paper we develop a small open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model – the Halle Economic Projection Model (HEPM) – is closely related to studies recently published by the International
Monetary Fund (global projection model). Our main contribution is that we model the Euro area countries separately. In this version we consider Germany and France, which represent together about 50 percent of Euro area GDP. The model allows for country specific heterogeneity in the sense that we capture different adjustment patterns to economic shocks. The model is estimated using Bayesian techniques. Out-of-sample and pseudo out-of-sample forecasts are presented.
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