Refine
Year of publication
Document Type
- Working Paper (214)
- Part of Periodical (15)
- Report (8)
- Article (7)
- Book (2)
- Doctoral Thesis (1)
- Periodical (1)
Is part of the Bibliography
- no (248)
Keywords
- monetary policy (14)
- DSGE (7)
- Geldpolitik (7)
- Federal Reserve (6)
- Monetary Policy (6)
- Numerical accuracy (6)
- Solution methods (6)
- Bayesian estimation (5)
- DSGE models (5)
- Deutschland (5)
Institute
- Institute for Monetary and Financial Stability (IMFS) (248) (remove)
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.
This note argues that the European Central Bank should adjust its strategy in order to consider broader measures of inflation in its policy deliberations and communications. In particular, it points out that a broad measure of domestic goods and services price inflation such as the GDP deflator has increased along with the euro area recovery and the expansion of monetary policy since 2013, while HICP inflation has become more variable and, on average, has declined. Similarly, the cost of owner-occupied housing, which is excluded from the HICP, has risen during this period. Furthermore, it shows that optimal monetary policy at the effective lower bound on nominal interest rates aims to return inflation more slowly to the inflation target from below than in normal times because of uncertainty about the effects and potential side effects of quantitative easing.
Notenbanken haben heute nicht die Aufgabe, die Geldmenge zu kontrollieren. Ihr Job ist es, den Wert des Geldes – und damit den Preis der Wirtschaftsgüter in der jeweiligen Währung – zu stabilisieren. Doch wie ist diese Preisstabilität am besten herzustellen? Muss man dabei nicht doch die Geldmenge im Auge behalten? Unter monetären Ökonomen gibt es dazu eine wissenschaftliche Debatte.
Notenbanken haben heute nicht die Aufgabe die Geldmenge zu kontrollieren. Ihr Job ist es, den Wert des Geldes – und damit den Preis der Wirtschaftsgüter in der jeweiligen Währung – zu stabilisieren. Doch wie ist diese Preisstabilität am besten herzustellen? Muß man dabei nicht doch die Geldmenge im Auge behalten? Unter monetären Ökonomen gibt es dazu eine wissenschaftliche Debatte.
Das Working Paper bietet die zusammenfassende Stellungnahme von Prof. Volker Wieland zum Ankaufprogramm der Europäischen Zentralbank für Anleihen des öffentlichen Sektors (Public Sector Purchase Programme, PSPP) am Bundesverfassungsgericht am 30.07.2019. Dabei liegt der Schwerpunkt auf der Frage der Einordnung des PSPP als monetäre, geldpolitische Maßnahme und der Verhältnismäßigkeit des Programms und seiner Umsetzung. Ebenfalls wird kurz auf die weiteren Fragen zur Umsetzung, insbesondere Ankündigung, Begrenzung und Abstand zum Primärmarkt für Staatsanleihen eingegangen.
Dem Druck standhalten
(2013)
The global financial crisis and the ensuing criticism of macroeconomics have inspired researchers to explore new modeling approaches. There are many new models that deliver improved estimates of the transmission of macroeconomic policies and aim to better integrate the financial sector in business cycle analysis. Policy making institutions need to compare available models of policy transmission and evaluate the impact and interaction of policy instruments in order to design effective policy strategies. This paper reviews the literature on model comparison and presents a new approach for comparative analysis. Its computational implementation enables individual researchers to conduct systematic model comparisons and policy evaluations easily and at low cost. This approach also contributes to improving reproducibility of computational research in macroeconomic modeling. Several applications serve to illustrate the usefulness of model comparison and the new tools in the area of monetary and fiscal policy. They include an analysis of the impact of parameter shifts on the effects of fiscal policy, a comparison of monetary policy transmission across model generations and a cross-country comparison of the impact of changes in central bank rates in the United States and the euro area. Furthermore, the paper includes a large-scale comparison of the dynamics and policy implications of different macro-financial models. The models considered account for financial accelerator effects in investment financing, credit and house price booms and a role for bank capital. A final exercise illustrates how these models can be used to assess the benefits of leaning against credit growth in monetary policy.
In the aftermath of the global financial crisis, the state of macroeconomicmodeling and the use of macroeconomic models in policy analysis has come under heavy criticism. Macroeconomists in academia and policy institutions have been blamed for relying too much on a particular class of macroeconomic models. This paper proposes a comparative approach to macroeconomic policy analysis that is open to competing modeling paradigms. Macroeconomic model comparison projects have helped produce some very influential insights such as the Taylor rule. However, they have been infrequent and costly, because they require the input of many teams of researchers and multiple meetings to obtain a limited set of comparative findings. This paper provides a new approach that enables individual researchers to conduct model comparisons easily, frequently, at low cost and on a large scale. Using this approach a model archive is built that includes many well-known empirically estimated models that may be used for quantitative analysis of monetary and fiscal stabilization policies. A computational platform is created that allows straightforward comparisons of models’ implications. Its application is illustrated by comparing different monetary and fiscal policies across selected models. Researchers can easily include new models in the data base and compare the effects of novel extensions to established benchmarks thereby fostering a comparative instead of insular approach to model development
The recent decline in euro area inflation has triggered new calls for additional monetary stimulus by the ECB in order to counter the threat of a self‐reinforcing deflation and recession spiral. This note reviews the available evidence on inflation expectations, output gaps and other factors driving current inflation through the lens of the Phillips curve. It also draws a comparison to the Japanese experience with deflation in the late 1990s and the evidence from Japan concerning the outputinflation nexus at low trend inflation. The note concludes from this evidence that the risk of a selfreinforcing deflation remains very small. Thus, the ECB best await the impact of the long‐term refinancing operations decided in June that have the potential to induce substantial monetary accommodation once implemented for the first time in September.
Schuldenanstieg und Haftungsausschluss im deutschen Föderalstaat : zur Rolle des Moral Hazard
(2007)
Einleitung: Die deutschen Staatsschulden sind in den letzten Jahrzehnten kontinuierlich gestiegen. Künftige Generationen werden zusätzlich aufgrund der demographischen Entwicklung durch die umlagenfinanzierten sozialen Sicherungssysteme belastet. Gerade auch der Anstieg der Verschuldung der Bundesländer war in den letzten Jahrzehnten spürbar. So betrug die Verschuldung aller deutschen Bundesländer zusammengenommen 1991 noch 168 Mrd. Euro, während Anfang 2007 die Verschuldung 483 Mrd. Euro betrug, was eine knappe Verdopplung der Schuldenquote der Länder (Verschuldung in Prozent des BIP) auf ca. 21 Prozent impliziert. In der aktuellen Diskussion um die Reform des deutschen Föderalismus besteht Einigkeit in der Diagnose des Problems. Die Entwicklung der Staatsschulden ist kritisch und darf sich so nicht fortsetzen. Uneinigkeit herrscht hingegen über die Ursache des Anstiegs. Ebenfalls wird um die beste Möglichkeit, diesen zu bremsen, gerungen. Verschiedene Autoren argumentieren, dass der Verschuldungsanstieg der deutschen Bundesländer vor allem auf den Moral Hazard Anreiz zurückzuführen ist. Der vorliegende Diskussionsbeitrag diskutiert dies als einen der möglichen Gründe des Schuldenanstiegs. Hierzu wird zunächst das Konzept kurz eingeführt. Anschließend wird die bestehende empirische Evidenz für Deutschland diskutiert. Schließlich wird eine Bewertung und Einordnung in die aktuelle Debatte vorgenommen. Schlußbemerkungen: Im vorliegenden Diskussionsbeitrag wird das "Moral hazard" Problem als einer der möglichen Gründe für den beobachteten starken Anstieg der Verschuldung deutscher Bundesländer diskutiert. Es wurde gezeigt, dass die Finanzmärkte kaum auf die erheblichen Unterschiede in den fiskalischen Fundamentaldaten der Länder reagieren. Mit einer Fallstudie wurde außerdem verdeutlicht, dass das aktuelle Bundesverfassungsgerichtsurteil zu einer eventuellen Haushaltsnotlage von Berlin Berlin die Risikoeinschätzung der Märkte für deutsche Bundesländer nicht verändert hat. Alles in allem scheint es sinnvoll, über eine größere Beteiligung der Gläubiger an Risiken einzelner Länder nachzudenken. Dies dürfte aber den Schuldenanstieg nur bei bereits hoch verschuldeten Ländern begrenzen und möglicherweise einem Notlagenfall vorbeugen, nicht aber den grundsätzlichen "Defizit-Bias" der Finanzpolitik kompensieren. Insgesamt scheinen deswegen vorgelagerte Regeln notwendig, um den Anstieg der Verschuldung schon früh zu unterbinden und somit Belastungen zukünftiger Generationen zu reduzieren.
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed’s Greenbook projections. Point forecasts of some models are of similar accuracy as the forecasts of nonstructural large dataset methods. Despite their common underlying New Keynesian modeling philosophy, forecasts of different DSGE models turn out to be quite distinct. Weighted forecasts are more precise than forecasts from individual models. The accuracy of a simple average of DSGE model forecasts is comparable to Greenbook projections for medium term horizons. Comparing density forecasts of DSGE models with the actual distribution of observations shows that the models overestimate uncertainty around point forecasts.
The paper illustrates based on an example the importance of consistency between the empirical measurement and the concept of variables in estimated macroeconomic models. Since standard New Keynesian models do not account for demographic trends and sectoral shifts, the authors proposes adjusting hours worked per capita used to estimate such models accordingly to enhance the consistency between the data and the model. Without this adjustment, low frequency shifts in hours lead to unreasonable trends in the output gap, caused by the close link between hours and the output gap in such models.
The retirement wave of baby boomers, for example, lowers U.S. aggregate hours per capita, which leads to erroneous permanently negative output gap estimates following the Great Recession. After correcting hours for changes in the age composition, the estimated output gap closes gradually instead following the years after the Great Recession.
I propose a dynamic stochastic general equilibrium model in which the leverage of borrowers as well as banks and housing finance play a crucial role in the model dynamics. The model is used to evaluate the relative effectiveness of a policy to inject capital into banks versus a policy to relieve households of mortgage debt. In normal times, when the economy is near the steady state and policy rates are set according to a Taylor-type rule, capital injections to banks are more effective in stimulating the economy in the long-run. However, in the middle of a housing debt crisis, when households are highly leveraged, the short-run output effects of the debt relief are more substantial. When the zero lower bound (ZLB) is additionally considered, the debt relief policy can be much more powerful in boosting the economy both in the short-run and in the longrun. Moreover, the output effects of the debt relief become increasingly larger, the longer the ZLB is binding.
Over the past few decades, changes in market conditions such as globalisation and deregulation of financial markets as well as product innovation and technical advancements have induced financial institutions to expand their business activities beyond their traditional boundaries and to engage in cross-sectoral operations. As combining different sectoral businesses offers opportunities for operational synergies and diversification benefits, financial groups comprising banks, insurance undertakings and/or investment firms, usually referred to as financial conglomerates, have rapidly emerged, providing a wide range of services and products in distinct financial sectors and oftentimes in different geographic locations. In the European Union (EU), financial conglomerates have become part of the biggest and most active financial market participants in recent years. Financial conglomerates generally pose new problems for financial authorities as they can raise new risks and exacerbate existing ones. In particular, their cross-sectoral business activities can involve prudentially substantial risks such as the risk of regulatory arbitrage and contagion risk arising from intra-group transactions. Moreover, the generally large size of financial conglomerates as well as the high complexity and interconnectedness of their corporate structures and risk exposures can entail substantial systemic risk and can therefore threaten the stability of the financial system as a whole. Until a few years ago, there was no supervisory framework in place which addressed a financial conglomerate in its entirety as a group. Instead, each group entity within a financial conglomerate was subject to the supervisory rules of its pertinent sector only. Such silo supervisory approach had the drawback of not taking account of risks which arise or aggravate at the group level. It also failed to consider how the risks from different business lines within the group interrelate with each other and affect the group as a whole. In order to address this lack of group-wide prudential supervision of financial conglomerates, the European legislator adopted the Financial Conglomerates Directive 2002/87/EC8 (‘FCD’) on 16 December 2002. The FCD was transposed into national law in the member states of the EU (‘Member States’) by 11 August 2004 for application to financial years beginning on 1 January 2005 and after. The FCD primarily aims at supplementing the existing sectoral directives to address the additional risks of concentration, contagion and complexity presented by financial conglomerates. It therefore provides for a supervisory framework which is applicable in addition to the sectoral supervision. Most importantly, the FCD has introduced additional capital requirements at the conglomerate level so as to prevent the multiple use of the same capital by different group entities. This paper seeks to examine to what extent the FCD provides for an adequate capital regulation of financial conglomerates in the EU while taking into account the underlying sectoral capital requirements and the inherent risks associated with financial conglomerates. In Part 1, the definition and the basic corporate models of financial conglomerates will be presented (I), followed by an illustration of the core motives behind the phenomenon of financial conglomeration (II) and an overview of the development of the supervision over financial conglomerates in the EU (III). Part 2 begins with a brief elaboration on the role of regulatory capital (I) and gives a general overview of the EU capital requirements applicable to banks and insurance undertakings respectively. A delineation of the commonalities and differences of the banking and the insurance capital requirements will be provided (II). It continues to further examine the need for a group-wide capital regulation of financial conglomerates and analyses the adequacy of the FCD capital requirements. In this context, the technical advice rendered by the Joint Committee on Financial Conglomerates (JCFC) as well as the currently ongoing legislative reforms at the EU level will be discussed (III). The paper finally closes with a conclusion and an outlook on remaining open issues (IV).
The financial services industry worldwide has undergone major transformation since the late 1970s. Technological advancements in information processing and communication facilitated financial innovation and narrowed traditional distinctions in financial products and services, allowing them to become close substitutes for one another. The deregulation process in many major economies prior to the recent financial crisis blurred the traditional lines of demarcation between the distinct types of financial institutions, exposing those firms to new competitors in their traditional business areas, while the increasing globalization of financial markets fostered the provision of financial services across national borders. Against this backdrop, a trend toward consolidation across financial sectors as well as across national borders increasingly manifested itself since the 1990s. The developments in the financial markets ever more intensified competition in the financial services industry and induced financial institutions to redefine their business strategies in search of higher profitability and growth opportunities. Consolidation across distinct financial sectors, i.e. financial conglomeration, in particular became a popular business strategy in light of the potential operational synergies and diversification benefits it can offer. This trend spurred the growth of diversified financial groups, the so-called financial conglomerates, which commingle banking, securities, and insurance activities under one corporate umbrella.5 Still today, large, complex financial conglomerates are represented among major players in the financial markets worldwide, whose activities not only sway across traditional boundaries of banking, securities, and insurance sectors but also across national borders.
Notwithstanding the economic benefits that conglomeration may produce as a business strategy, the emergence of financial conglomerates also exacerbated existing and created new prudential risks in the financial system. 6 The mixing of a variety of financial products and services under one corporate roof and the generally large and complex group structure of financial conglomerates expose such organizations to specific group risks such as contagion and arbitrage risk as well as systemic risk. When realized, these risks may not only cause the failure of an entire financial group but threaten the stability of the financial system as a whole, as evidenced by the events during recent financial crisis of 2007-2009...
Inhalt: Vorwort Grußwort Vizepräsident Professor Dr. Ingwer Ebsen Grußwort Professor Dr. Helmut Siekmann Dr. Guntram B. Wolff : „Moral hazard und bail-out im deutschen Föderalstaat“ Ernst Burgbacher :„Erwartungen an die Föderalismusreform II – mehr Wettbewerb und mehr Autonomie für den deutschen Bundesstaat“ Professor Dr. Joachim Wieland : „Rechtsregeln für den Umgang mit extremen Haushaltsnotlagen“ Professor Dr. Kai A. Konrad : „Vorschläge zur wirksamen Verschuldungsbegrenzung der Länder“
Das Institute for Monetary and Financial Stability (IMFS) ist ein wissenschaftliches Zentrum der Johann Wolfgang Goethe-Universität Frankfurt am Main. Das IMFS dient der Umsetzung des Projekts Währungs- und Finanzstabilität (monetary and financial stability), das von der Stiftung Geld und Währung getragen wird. Aufgabe des Institute for Monetary and Financial Stability (IMFS) ist die wirtschafts- und rechtswissenschaftliche Forschung sowie die wirtschaftspolitische und rechtliche Beratung auf dem Gebiet des Geld-, Währungs- und Finanzwesens. Besonderes Anliegen ist die Förderung des wissenschaftlichen Meinungsaustauschs durch Veranstaltungen und Diskussionsforen mit nationaler und internationaler Beteiligung. Dabei soll insbesondere der Wissenstransfer in die Welt der Kreditinstitute und der Zentralbanken sowie der politischen Entscheidungsträger intensiviert werden. Damit einhergehend ist die akademische und praxisorientierte Nachwuchsförderung Ziel des IMFS. Im Bewusstsein der Öffentlichkeit soll das Wirken des IMFS die Bedeutung stabilen Geldes stärken und fördern.
This study contains articles based on speeches and presentations at the 14th CFS-IMFS Conference "The ECB and its Watchers" on June 15, 2012 by Mario Draghi, John Vickers, Peter Praet, Lucrezia Reichlin, Vitor Gaspar, Lucio Pench and Stefan Gerlach and a post-conference outlook by Helmut Siekmann and Volker Wieland.
Einen Überblick über neueste Forschungsergebnisse der Wissenschaftler am IMFS, Berichte von Konferenzen und Vorträgen sowie ausführliche Informationen zum derzeit größten Forschungsprojekt Macroeconomic Modeling and Comparison Initiative (MMCI) bietet der IMFS-Jahresbericht 2019, der jetzt veröffentlicht ist. Darüber hinaus gibt IMFS-Professor Michael Haliassos im Interview einen Einblick in seine Arbeit zum Finanzverhalten der privaten Haushalte und die ehemaligen Mitarbeiter Philipp Lieberknecht und Felix Strobel berichten, wie sie im Berufsleben auf ihrer Forschung am IMFS aufbauen können.
Auf rund 100 Seiten zeigt der Bericht die Highlights des Jahres, alle Mitarbeiter sowie die Projekte, Publikationen sowie die Veranstaltungen des IMFS, darunter „The ECB and Its Watchers“ zu finden. Der Jahresbericht ist auf Englisch erschienen und steht im PDF-Format zur Verfügung.
The IMFS Interdisciplinary Study 2/2013 contains speeches of Michael Burda (Humboldt University ), Benoît Coeuré (European Central Bank), Stefan Gerlach (Bank of Ireland and former IMFS Professor), Patrick Honohan (Bank of Ireland), Sabine Lautenschläger (Deutsche Bundesbank), Athanasios Orphanides (MIT) and Helmut Siekmann as well as Volker Wieland.
The Institute for Monetary and Financial Stability (IMFS) is a research center of the Johann Wolfgang Goethe University, Frankfurt am Main, located in the "House of Finance". The Institute was established as implementation of the project "Currency and Financial Stability" funded by a grant of the Stiftung Geld und Währung (Foundation of Monetary and Financial Stability). The Foundation of Monetary and Financial Stability was created January 1, 2002 by federal law. ...
Die wirtschaftlichen und rechtlichen Grenzen der Notenbanken oder die Zukunft der Zentralbanken waren zwei große Themen, die im vergangenen Jahr im Fokus des IMFS standen. Einen Überblick über alle Aktivitäten und Publikationen des IMFS im Jahr 2013 gibt der Jahresbericht 2013, der jetzt in der Download-Version erschienen ist. Der Jahresbericht umfasst 58 Seiten und ist nur auf Englisch erhältlich.