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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.
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.
This essay reviews a cornerstone of the European Banking Union project, the resolution of systemically important banks. The focus is on the inherent conflict between a possible intervention by resolution authorities, conditional on a crisis situation, and effective prevention prior to a crisis. Moreover, the paper discusses the rules for bail-in debt and conversion rules for different layers of debt. Finally, some organizational requirements to achieve effective resolution results will be analyzed.
Rating agencies state that they take a rating action only when it is unlikely to be reversed shortly afterwards. Based on a formal representation of the rating process, I show that such a policy provides a good explanation for the puzzling empirical evidence: Rating changes occur relatively seldom, exhibit serial dependence, and lag changes in the issuers’ default risk. In terms of informational losses, avoiding rating reversals can be more harmful than monitoring credit quality only twice per year.
Evaluating the quality of credit portfolio risk models is an important question for both banks and regulators. Lopez and Saidenberg (2000) suggest cross-sectional resampling techniques in order to make efficient use of available data and to produce measures of forecast accuracy. We first show that their proposal disregards crosssectional dependence in simulated subportfolios, which renders standard statistical inference invalid. We proceed by suggesting another evaluation methodology which draws on the concept of likelihood ratio tests. Specifically, we compare the predictive quality of alternative models by comparing the probabilities that observed data have been generated by these models. The distribution of the test statistic can be derived through Monte Carlo simulation. To exploit differences in cross-sectional predictions of alternative models, the test can be based on a linear combination of subportfolio statistics. In the construction of the test, the weight of a subportfolio depends on the difference in the loss distributions which alternative models predict for this particular portfolio. This makes efficient use of the data, and reduces computational burden. Monte Carlo simulations suggest that the power of the tests is satisfactory.
JEL classification: G2; G28; C52
Evaluating the quality of credit portfolio risk models is an important issue for both banks and regulators. Lopez and Saidenberg (2000) suggest cross-sectional resampling techniques in order to make efficient use of available data. We show that their proposal disregards cross-sectional dependence in resampled portfolios, which renders standard statistical inference invalid. We proceed by suggesting the Berkowitz (1999) procedure, which relies on standard likelihood ratio tests performed on transformed default data. We simulate the power of this approach in various settings including one in which the test is extended to incorporate cross-sectional information. To compare the predictive ability of alternative models, we propose to use either Bonferroni bounds or the likelihood-ratio of the two models. Monte Carlo simulations show that a default history of ten years can be sufficient to resolve uncertainties currently present in credit risk modeling.
SAFE Newsletter : 2014, Q3
(2014)
This paper examines whether an exogenous anticipated monetary shock causes real economic effects, i.e. whether anticipated money is neutral. A major finding is that an anticipated monetary shock can in fact be massively non-neutral in the shortrun, if the economic environment is characterized by strategic complementarity. If the environment is characterized by strategic substitutability, anticipated monetary shocks are largely neutral.
Is wider access to stockholding opportunities related to reduced wealth inequality, given that it creates challenges for small and less sophisticated investors? Counterfactual analysis is used to study the influence of changes in the US stockholder pool and economic environment, on the distribution of stock and net household wealth during a period of dramatic increase in stock market participation. We uncover substantial shifts in stockholder pool composition, favoring smaller holdings during the 1990s upswing but larger holdings around the burst of the Internet bubble. We find no evidence that widening access to stocks was associated with reduced net wealth inequality.
We propose a novel approach on how to estimate systemic risk and identify its key determinants. For US financial companies with publicly traded equity options, we extract option-implied value-at-risks and measure the spillover effects between individual company value-at-risks and the option-implied value-at-risk of a financial index. First, we study the spillover effect of increasing company risks on the financial sector. Second, we analyze which companies are mostly affected if the tail risk of the financial sector increases. Key metrics such as size, leverage, market-to-book ratio and earnings have a significant influence on the systemic risk profiles of financial institutions.