Volatilität, Wachstum und Finanzkrisen

Diese Forschungsgruppe analysiert die Entstehung von Instabilitäten im Finanzsystem und die realökonomischen Konsequenzen von Finanzkrisen. Dabei werden kausale Reaktionen gesamtwirtschaftlicher Größen auf makroökonomische Schocks identifiziert. Frühwarnmodelle beschreiben das zyklische Auftreten von Vulnerabilitäten im Finanzsystem.

IWH-Datenprojekt: Financial Stability Indicators in Europe

Forschungscluster
Finanzstabilität und Regulierung

Ihr Kontakt

Juniorprofessor Dr. Gregor von Schweinitz
Juniorprofessor Dr. Gregor von Schweinitz
Mitglied - Abteilung Makroökonomik
Nachricht senden +49 345 7753-744

PROJEKTE

01.2018 ‐ 12.2018

International Monetary Policy Transmission

Deutsche Bundesbank

Juniorprofessor Dr. Gregor von Schweinitz

01.2017 ‐ 12.2018

Early-warning Models for Systemic Banking Crises

Deutsche Forschungsgemeinschaft (DFG)

Juniorprofessor Dr. Gregor von Schweinitz

Referierte Publikationen

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Spillover Effects among Financial Institutions: A State-dependent Sensitivity Value-at-Risk Approach

Z. Adams R. Füss Reint E. Gropp

in: Journal of Financial and Quantitative Analysis, Nr. 3, 2014

Abstract

In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). For four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies) we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions.

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The Impact of Preferences on Early Warning Systems - The Case of the European Commission's Scoreboard

Tobias Knedlik

in: European Journal of Political Economy, 2014

Abstract

The European Commission’s Scoreboard of Macroeconomic Imbalances is a rare case of a publicly released early warning system. It allows the preferences of the politicians involved to be analysed with regard to the two potential errors of an early warning system – missing a crisis and issuing a false alarm. These preferences might differ with the institutional setting. Such an analysis is done for the first time in this article for early warning systems in general by using a standard signals approach, including a preference-based optimisation approach, to set thresholds. It is shown that, in general, the thresholds of the Commission’s Scoreboard are set low (resulting in more alarm signals), as compared to a neutral stand. Based on political economy considerations the result could have been expected.

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Exchange Rate Regime, Real Misalignment and Currency Crises

Oliver Holtemöller Sushanta Mallick

in: Economic Modelling, Nr. 34, 2013

Abstract

Based on 69 sample countries, this paper examines the effect of macroeconomic fundamentals on real effective exchange rates (REER) in these sample countries. Using the misalignment of actual REER from its equilibrium level, we have estimated the factors explaining the extent of currency over- or under-valuation. Overall, we find that the higher the flexibility of the currency regime, the lower is the misalignment. The estimates are robust to different sub-samples of countries. We then explore the impact of such misalignment on the probability of a currency crisis in the next period, indicating the extent to which misalignment could be used as a leading indicator of a potential crisis. This paper thus makes a new contribution to the debate on the choice of exchange rate regime by bringing together real exchange rate misalignment and currency crisis literature.

Publikation lesen

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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach

Makram El-Shagi Tobias Knedlik Gregor von Schweinitz

in: Journal of International Money and Finance, Nr. 35, 2013

Abstract

The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.

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Sovereign Default Risk in the Euro-periphery and the Euro-candidate Countries

Hubert Gabrisch Lucjan T. Orlowski Toralf Pusch

in: Journal of Comparative Economics, 2011

Publikation lesen

Arbeitspapiere

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Flight Patterns and Yields of European Government Bonds

Gregor von Schweinitz

in: IWH-Diskussionspapiere, Nr. 10, 2013

Abstract

The current European Debt Crisis has led to a reinforced effort to identify the sources of risk and their influence on yields of European Government Bonds. Until now, the potentially nonlinear influence and the theoretical need for interactions reflecting flight-to-quality and flight-to-liquidity has been widely disregarded. I estimate government bond yields of the Euro-12 countries without Luxembourg from May 2003 until December 2011. Using penalized spline regression, I find that the effect of most explanatory variables is highly nonlinear. These nonlinearities, together with flight patterns of flight-to-quality and flight-to-liquidity, can explain the co-movement of bond yields until September 2008 and the huge amount of differentiation during the financial and the European debt crisis without the unnecessary assumption of a structural break. The main effects are credit risk and flight-to-liquidity, while the evidence for the existence of flight-to-quality and liquidity risk (the latter measured by the bid-ask spread and total turnover of bonds) is comparably weak.

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