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This paper outlines relatively easy to implement reforms for the supervision of transnational banking-groups in the E.U. that should not be primarily based on legal form but on the actual risk structures of the pertinent financial institutions. The proposal also aims at paying close attention to the economics of public administration and international relations in allocating competences among national and supranational supervisory bodies.
Before detailing the own proposition, this paper looks into the relationship between sovereign debt and banking crises that drive regulatory reactions to the financial turmoil in the Euro area. These initiatives inter alia affirm effective prudential supervision as a pivotal element of crisis prevention.
In order to arrive at a more informed idea, which determinants apart from a per-ceived appetite for regulatory arbitrage drive banks’ organizational choices, this paper scrutinizes the merits of either a branch or subsidiary structure for the cross-border business of financial institutions. In doing so, it also considers the policy-makers perspective. The analysis shows that no one size fits all organizational structure is available and concludes that banks’ choices should generally not be second-guessed, particularly because they are subject to (some) market discipline.
The analysis proceeds with describing and evaluating how competences in prudential supervision are currently allocated among national and supranational supervisory authorities. In order to assess the findings the appraisal adopts insights form the economics of public administration and international relations. It argues that the supervisory architecture has to be more aligned with bureaucrats’ incentives and that inefficient requirements to cooperate and share information should be reduced. The evolving Single Supervisory Mechanism for euro area banks with its rather complicated allocation of responsibilities between the ECB and the national supervisors in participating and non-participating Member States will not solve all the problems identified as it is partly in disaccord with bureaucrats’ incentives.
The last part of this paper finally sketches an alternative solution that dwells on far-reaching mutual recognition of national supervisory regimes and allocates competences in line with supervisors’ incentives and the risk inherent in cross-border banking groups.
Mehr als 18 Milliarden Euro hat die Commerzbank im Zuge der Finanzkrise in Form von staatlichen Garantien, Kapitalspritzen oder Einlagen erhalten. Auch die Hypo Real Estate, die WestLB, die SachsenLB und die IKB profitierten von Stützungsmaßnahmen. Die EU genehmigte diese und andere staatlichen Hilfsmaßnahmen. Grundsätzlich sind staatliche Stützungsmaßnahmen jedoch als wirtschaftlicher Vorteil zu werten und damit zunächst eine verbotene Beihilfe. In seinem Working Paper betrachtet Tuschl die rechtlichen Grundlagen des EU-Beihilferechts und zeigt die teilweise differierende Praxis der EU-Kommission auf.
This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward non-linear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE) model, a Bayesian vector autoregression (BVAR) using optimized priors as well as Greenbook and SPF forecasts. Model estimation and forecasting is based on an expanding window scheme using quarterly U.S. real-time data (1964Q2:2020Q3) for 8 macroeconomic time series (GDP, inflation, federal funds rate, spread, consumption, investment, wage, hours worked), allowing for up to 8 quarter ahead forecasts. The results show that the BVAR improves forecasts compared to the DSGE model, however there is evidence for an overall improvement of predictions when relying on ANN, or including them in a weighted average. Especially, ANN-based inflation forecasts improve other predictions by up to 50%. These results indicate that nonlinear data-driven ANNs are a useful method when it comes to macroeconomic forecasting.
Central bank intervention in the form of quantitative easing (QE) during times of low interest rates is a controversial topic. The author introduces a novel approach to study the effectiveness of such unconventional measures. Using U.S. data on six key financial and macroeconomic variables between 1990 and 2015, the economy is estimated by artificial neural networks. Historical counterfactual analyses show that real effects are less pronounced than yield effects.
Disentangling the effects of the individual asset purchase programs, impulse response functions provide evidence for QE being less effective the more the crisis is overcome. The peak effects of all QE interventions during the Financial Crisis only amounts to 1.3 pp for GDP growth and 0.6 pp for inflation respectively. Hence, the time as well as the volume of the interventions should be deliberated.
Mit einem um die Behandlungskapazität des Gesundheitssystems erweiterten epidemiologischen SIRD-Modell werden Mechanismen und Dynamik einer Virusepidemie wie Corona anhand von stilisierten politischen Reaktionsmustern (Ignore, Shutdown, Ignore-Shutdown-Relax) simuliert. Ferner werden aus dem Modell Lehren für die statistische Analyse von Corona gezogen, wie die Aussagekraft publizierter Verdopplungszeiten und Reproduktionszahlen. Die Dunkelziffer unbestätigter Fälle und die im Epidemieverlauf variable Genauigkeit von medizinischen Infektionstests werden diskutiert. Zur Messung der medizinischen Kosten von Corona sowie für regionale und internationale Vergleiche wird ein Schadensindex der verlorenen Lebenszeit vorgeschlagen. Zuletzt geht die Arbeit kurz auf die ökonomischen Kosten von Corona in Deutschland ein.
Für Zwecke des privaten Konsums werden ständig Gegenwarts- und Zukunftsgüter bewertet und gehandelt. Ein zuverlässiges und umfassendes Maß für die allgemeine Kaufkraft des Geldes und deren Veränderung sollte diesem Grundsachverhalt Rechnung tragen. Im Unterschied zu konventionellen statistischen Verbraucherpreisindizes ist ein ökonomischer Lebenskostenindex intertemporal angelegt, da er die effektiven Konsumgüterpreise (Effektivpreise) über den Planungshorizont der privaten Haushalte bündelt. Ein Preisstabilitätsstandard, der diesen Zusammenhang ausblendet, ist tendenziell verzerrt und leistet einer asymmetrischen Geldpolitik Vorschub.
Effektivpreise sind Gegenwartspreise für künftigen Konsum, sie berücksichtigen Güterpreise und Zinsen bzw. Vermögenspreisänderungen, sind konsumtheoretisch und wohlfahrtsökonomisch fundiert und bilden die zentralen Bausteine für die Modellklasse der ökonomischen Lebenskostenindizes. Nutzentheoretisch gesehen sind Effektivpreise bewerteter Grenznutzen der letzten konsumierten Gütereinheit, und die daraus abgeleiteten Effektiven Inflationsraten sind intertemporale Grenzraten der Substitution.
Die Autoren entwickeln einen intertemporalen Lebenskostenindex auf der Grundlage des Konzepts der Effektivpreise und stellen empirische Zeitreihen und kohortenspezifische Szenarioanalysen für Deutschland vor.
In this paper, I introduce lumpy micro-level capital adjustment into a sticky information general equilibrium model. Lumpy adjustment arises because of inattentiveness in capital investment decisions instead of the more common assumption of non-convex adjustment costs. The model features inattentiveness as the only source of stickiness. I find that the model with lumpy investment yields business cycle dynamics which differ substantially from those of an otherwise identical model with frictionless investment and are much more consistent with the empirical evidence. These results therefore strengthen the case in favour of the relevance of microeconomic investment lumpiness for the business cycle.
Motivated by the U.S. events of the 2000s, we address whether a too low for too long interest rate policy may generate a boom-bust cycle. We simulate anticipated and unanticipated monetary policies in state-of-the-art DSGE models and in a model with bond financing via a shadow banking system, in which the bond spread is calibrated for normal and optimistic times. Our results suggest that the U.S. boom-bust was caused by the combination of (i) too low for too long interest rates, (ii) excessive optimism and (iii) a failure of agents to anticipate the extent of the abnormally favorable conditions.
Central banks have faced a succession of crises over the past years as well as a number of structural factors such as a transition to a greener economy, demographic developments, digitalisation and possibly increased onshoring. These suggest that the future inflation environment will be different from the one we know. Thus uncertainty about important macroeconomic variables and, in particular, inflation dynamics will likely remain high.