Elevated Uncertainty during the Financial Crisis: Do Effects on Subjective Well-being Differ across European Countries?
Lena Tonzer
B.E. Journal of Economic Analysis & Policy,
No. 2,
2019
Abstract
This paper focuses on the effect of uncertainty as reflected by financial market variables on subjective well-being. The analysis is based on Eurobarometer surveys, covering 18 countries over the period 2000–2013. Individuals report lower levels of life satisfaction in times of higher uncertainty approximated by stock market volatility. This effect is heterogeneous across respondents: the probability of being unsatisfied is higher for respondents who are older, unemployed, less educated, and live in one of the GIIPS countries of the Euro area. Furthermore, higher uncertainty in combination with a financial crisis increases the probability of reporting low values of life satisfaction.
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Drivers of Systemic Risk: Do National and European Perspectives Differ?
Claudia M. Buch, Thomas Krause, Lena Tonzer
Journal of International Money and Finance,
March
2019
Abstract
With the establishment of the Banking Union, the European Central Bank has been granted the power to impose stricter regulations than the national regulator if systemic risks are not adequately addressed at the national level. We ask whether there is a cross-border externality in the sense that a bank’s systemic risk differs when applying a national versus a European perspective. On average, banks’ contribution to systemic risk is similar at the two regional levels, and so is the ranking of banks. Generally, larger banks and banks with a lower share of loans are more systemically important. The effects of these variables are qualitatively but not quantitatively similar at the national versus the European level.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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The Case for a European Rating Agency: Evidence from the Eurozone Sovereign Debt Crisis
Marc Altdörfer, Carlos A. De las Salas Vega, Andre Guettler, Gunter Löffler
Journal of International Financial Markets, Institutions and Money,
2019
Abstract
Politicians frequently voice that European bond issuers would benefit from the presence of a Europe-based rating agency. We take Fitch as a prototype for such an agency. With its ownership structure and a headquarter in London, Fitch is more European than Moody’s and S&P; during the Eurozone sovereign debt crisis, it also issued more favorable ratings. Fitch’s rating actions, however, were largely ignored by the bond market. Our results thus cast doubt on the benefits of a European credit rating agency.
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A Market-based Measure for Currency Risk in Managed Exchange Rate Regimes
Stefan Eichler, Ingmar Roevekamp
Journal of International Financial Markets, Institutions and Money,
November
2018
Abstract
We introduce a novel currency risk measure based on American Depositary Receipts (ADRs). Using an augmented ADR pricing model, we exploit investors’ exposure to potential devaluation losses to derive an indicator of currency risk. Using weekly data for a sample of 807 ADRs located in 21 emerging markets over the 1994–2014 period, we find that a deterioration in the fiscal balance and higher inflation increase currency risk. Interaction models reveal that the fiscal balance and inflation drive the determination of currency risk for countries with poor sovereign rating, low foreign reserves, low capital account openness and managed float regimes.
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Crises and Rescues: Liquidity Transmission Through Global Banks
Michael Koetter, Claudia M. Buch, C. T. Koch
International Journal of Central Banking,
No. 4,
2018
Abstract
This paper shows that global banks transmit liquidity shocks via their network of foreign affiliates. We use the (unexpected) access of German banks' affiliates located in the United States to the Federal Reserve's Term Auction Facility. We condition on the parent banks' U.S. dollar funding needs in order to examine how affiliates located outside the United States adjusted their balance sheets when the U.S. affiliate of the same parent tapped into TAF liquidity. Our research has three main findings. First, affiliates tied to parents with higher U.S. dollar funding needs expanded their foreign assets during periods of active TAF borrowing. Second, the overall effects are driven by affiliates located in financial centers. Third, U.S.- dollar-denominated lending particularly increased in response to the TAF program.
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On DSGE Models
Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Journal of Economic Perspectives,
No. 3,
2018
Abstract
The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy. A central challenge facing policymakers is how to assess the relative strength of those forces. Economists have a range of tools that can be used to make such assessments. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner. We review the state of mainstream DSGE models before the financial crisis and the Great Recession. We then describe how DSGE models are estimated and evaluated. We address the question of why DSGE modelers—like most other economists and policymakers—failed to predict the financial crisis and the Great Recession, and how DSGE modelers responded to the financial crisis and its aftermath. We discuss how current DSGE models are actually used by policymakers. We then provide a brief response to some criticisms of DSGE models, with special emphasis on criticism by Joseph Stiglitz, and offer some concluding remarks.
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Banks Fearing the Drought? Liquidity Hoarding as a Response to Idiosyncratic Interbank Funding Dry-ups
Helge Littke, Matias Ossandon Busch
IWH Discussion Papers,
No. 12,
2018
Abstract
Since the global financial crisis, economic literature has highlighted banks’ inclination to bolster up their liquid asset positions once the aggregate interbank funding market experiences a dry-up. To this regard, we show that liquidity hoarding and its detrimental effects on credit can also be triggered by idiosyncratic, i.e. bankspecific, interbank funding shocks with implications for monetary policy. Combining a unique data set of the Brazilian banking sector with a novel identification strategy enables us to overcome previous limitations for studying this phenomenon as a bankspecific event. This strategy further helps us to analyse how disruptions in the bank headquarters’ interbank market can lead to liquidity and lending adjustments at the regional bank branch level. From the perspective of the policy maker, understanding this market-to-market spillover effect is important as local bank branch markets are characterised by market concentration and relationship lending.
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Nationale Aufsicht versus Europäische Bankenunion: Unterscheidet sich die Beurteilung der Einflussfaktoren systemischen Risikos von Banken?
Thomas Krause, Talina Sondershaus, Lena Tonzer
Wirtschaft im Wandel,
No. 3,
2017
Abstract
Als Reaktion auf die Finanzkrise unterliegt das Finanzsystem zahlreichen neuen regulatorischen Änderungen. Zum einen wurden bestehende mikroprudenzielle Regeln für Eigenkapital und Liquidität verschärft. Zum anderen wurden makroprudenzielle Instrumente eingeführt. Makroprudenzielle Regulierung hat dabei zum Ziel, systemische Risiken im Finanzsystem frühzeitig zu erkennen, zu reduzieren und somit die Finanzmarktstabilität zu erhöhen. Zudem wurde mit der Einführung der Bankenunion die Aufsicht der größten Banken des Euroraums der Europäischen Zentralbank (EZB) übertragen. Diese Studie untersucht, ob das systemische Risiko von Banken unterschiedlich groß ist, wenn eine europäische im Vergleich zu einer nationalen Perspektive eingenommen wird. Im Anschluss wird die Frage geklärt, welche Faktoren systemisches Risiko beeinflussen und ob sich diese Faktoren zwischen der nationalen und europäischen Ebene unterscheiden. Es zeigt sich, dass Banken auf nationaler Ebene im Durchschnitt etwas mehr zum systemischen Risiko beitragen, wobei es große Unterschiede zwischen Banken und Ländern gibt. Zudem haben größere und profitablere Banken sowie Banken, deren Geschäftsmodell durch eine geringere Kreditvergabe geprägt ist, ein höheres systemisches Risiko.
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Politische Determinanten staatlicher Ausfallrisiken
Stefan Eichler
Wirtschaft im Wandel,
No. 2,
2017
Abstract
Staatliche Zahlungsausfälle haben nicht selten politische Ursachen. Während ökonomische Rahmenbedingungen wie etwa Wirtschaftswachstum, Finanzstabilität oder globale Investorenstimmungen die Zahlungsfähigkeit eines Staates beeinflussen, wird die tatsächliche Rückzahlung von Staatsschulden letztendlich von der einheimischen Regierung entschieden. Die Zahlungswilligkeit einer Regierung spielt daher eine entscheidende Rolle für das Risiko eines staatlichen Zahlungsausfalls. In diesem Artikel wird der Einfluss politischer Faktoren auf das staatliche Ausfallrisiko für 27 Schwellen- und Entwicklungsländer im Zeitraum von 1996 bis 2009 untersucht. Die Auswertung von Anleihedaten zeigt, dass Investoren ein höheres Ausfallrisiko fürchten, falls ein Land politisch instabil ist oder von einer Rechts- bzw. Linkspartei regiert wird. Der Einfluss politischer Faktoren auf das staatliche Ausfallrisiko eines Landes sinkt mit dessen Grad an Demokratie und Integration in die Weltwirtschaft.
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