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CFSnewsletter is a documentation of past, present and future CFS activities in the fields of research, executive development and events. Printed versions of all issues published since 1997 can be ordered free of charge. To download the latest issues, you need ADOBE Acrobat Reader. Contact: Lut De Moor Phone: +49-(0)69-798-30060 Fax: +49-(0)69-798-30077 media_contact (AT) ifk-cfs.de
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.
Renewed interest in fiscal policy has increased the use of quantitative models to evaluate policy. Because of modeling uncertainty, it is essential that policy evaluations be robust to alternative assumptions. We find that models currently being used in practice to evaluate fiscal policy stimulus proposals are not robust. Government spending multipliers in an alternative empirically-estimated and widely-cited new Keynesian model are much smaller than in these old Keynesian models; the estimated stimulus is extremely small with GDP and employment effects only one-sixth as large.
Content New Financial Architecture (Short Version) 1. Purpose of the paper – causes of the crisis 2. Recommendations 2.1. Incentives 2.2. Transparency 2.3. Regulation and Supervision 2.4. International Institutions 3. Concluding remarks Appendix (Full text) A 1. Causes of the crisis A 2. Improving the Framework A 2.1. Incentives A 2.2. Transparency A 2.3. Regulation and Supervision A 2.4. International Institutions A 3. Concluding remarks
Content A. EXECUTIVE SUMMARY, INCLUDING MAJOR RECOMMENDATIONS B. COMPLETE REPORT 1. INTRODUCTION 2. RISK MAP 2.1 Why a Risk Map is needed, and for what purpose 2.1.1 Creating a unified data base 2.1.2 Assessing systemic risk 2.1.3 Allowing for coordinated policy action 2.2 Recommendations 3. GLOBAL REGISTER FOR LOANS (CREDIT REGISTER) AND BONDS (SECURITIES REGISTER) 3.1 Objectives of a credit register 3.2 Credit registers in Europe (and beyond) 3.3 Suggestions for a supra-national Credit Register 3.4 Integrating a supra-national Securities Register 3.5 Recommendations 4. HEDGE FUNDS: REGULATION AND SUPERVISION 4.1 What are hedge funds (activities, location, size, regulation)? 4.2 What are the risks posed by hedge funds (systematic risks, interaction with prime brokers)? 4.3 Routes to better regulation (direct, indirect) 4.4 Recommendations 5. RATING AGENCIES: REGULATION AND SUPERVISION 5.1 The role of ratings in bond and structured finance markets, past and present 5.2 Elements of rating integrity (independence, compensation and incentives, transparency) 5.3 Recommendations (registration, transparency, annual report on rating performance) 6. PROCYCLICALITY: PROBLEMS AND POTENTIAL SOLUTIONS 6.1 What is meant by “procyclicality” and why is it a problem? 6.2 The roots of procyclicality and the lessons it suggests for policymakers 6.2.1 Underpinnings of the phenomenon 6.2.2 Lessons to be learned 6.3 Characteristics of a macrofinancial stability framework 6.4 Recommendations 7. THE ROLE OF INTERNATIONAL INSTITUTIONS AND FORA, IN PARTICULAR THE IMF, BIS AND FSF 7.1 Legitimacy 7.2 Re-focusing the work 7.3 Recommendations
Central banks have recently introduced new policy initiatives, including a policy called ‘Quantitative Easing’ (QE). Since it has been argued by the Bank of England that “Standard economic models are of limited use in these unusual circumstances, and the empirical evidence is extremely limited” (Bank of England, 2009b), we have taken an entirely empirical approach and have focused on the QE-experience, on which substantial data is available, namely that of Japan (2001-2006). Recent literature on the effectiveness of QE has neglected any reference to final policy goals. In this paper, we adopt the view that ultimately effectiveness will be measured by whether it will be able to “boost spending” (Bank of England, 2009b) and “will ultimately be judged by their impact on the wider macroeconomy” (Bank of England, 2010). In line with a widely held view among leading macroeconomists from various persuasions, while attempting to stay agnostic and open-minded on the distribution of demand changes between real output and inflation, we have thus identified nominal GDP growth as the key final policy goal of monetary policy. The empirical research finds that the policy conducted by the Bank of Japan between 2001 and 2006 makes little empirical difference while an alternative policy targeting credit creation (the original definition of QE) would likely have been more successful.
Die Anpassung der EU-Richtlinie über Märkte für Finanzinstrumente (MiFID II) und die Einführung einer begleitenden Verordnung (MiFIR) im Jahr 2014 werden erhebliche Auswirkungen auf die Finanzmärkte in Europa haben und zu einer grundlegenden Neuordnung der Finanzmarktstrukturen führen. Ausgehend von einer Diskussion der Zielerreichung der ursprünglichen Richtlinie (MiFID I) aus dem Jahr 2004 werden im vorliegenden Artikel die Zielsetzungen und Maßnahmen der Neuregelung beleuchtet. Wesentliche Elemente im Hinblick auf Marktstrukturen und den Wertpapierhandel sind die Einführung einer neuen Handelsplatzkategorie, des organisierten Handelssystems („Organised Trading Facility“; OTF), sowie die Ausweitung der bislang für Aktien geltenden Transparenzvorschriften auf weitere Finanzinstrumente. Zudem werden eine Handelsverpflichtung für Aktien und Derivate sowie eine Clearingpflicht für Derivate, die auf geregelten Märkten gehandelt werden, neu eingeführt. Schließlich werden der algorithmische Handel und der Hochfrequenzhandel auf europäischer Ebene reguliert, wobei die Regelungen weitgehend dem 2013 eingeführten deutschen Hochfrequenzhandelsgesetz angelehnt sind. Im Ausblick wird zunächst der weitere Prozess der Regulierung skizziert (insbesondere die sog. Level II-Maßnahmen). Abschließend werden mögliche Auswirkungen von MiFID II und MiFIR auf die Marktstruktur und den Wertpapierhandel aufgezeigt.
We propose a spatiotemporal approach for modeling risk spillovers using time-varying proximity matrices based on observable financial networks and introduce a new bilateral specification. We study covariance stationarity and identification of the model, and analyze consistency and asymptotic normality of the quasi-maximum-likelihood estimator. We show how to isolate risk channels and we discuss how to compute target exposure able to reduce system variance. An empirical analysis on Euro-area cross-country holdings shows that Italy and Ireland are key players in spreading risk, France and Portugal are the major risk receivers, and we uncover Spain's non-trivial role as risk middleman.