Overleveraging, financial fragility and the banking-macro link: theory and empirical evidence
In: ZEW Discussion Papers 14-110
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In: ZEW Discussion Papers 14-110
In: CESifo working paper series 4421
In: Monetary policy and international finance
We examine how regularly scheduled macroeconomic announcements for the U.S., Germany and the euro area affect the German stock market, using high-frequency, minute-by-minute DAX data. Our study extends the literature on high-frequency announcement effects in several ways. First, we account for endogenous return dynamics by assessing announcement impacts via response analysis. Second, we examine the announcements effects on market volatility in a more detailed fashion by distinguishing effects of positive and negative surprises. Finally, we adapt the standard weighted-least-squares approach to more adequately analyze both conditional mean and volatility effects.
In: Working paper 119
In: Arbeiten aus dem Institut für Statistik und Ökonometrie der Christian-Albrechts-Universität Kiel 105-R
In: Arbeiten aus dem Institut für Statistik und Ökonometrie der Christian-Albrechts-Universität Kiel 118
In: Arbeiten aus dem Institut für Statistik und Ökonometrie der Christian-Albrechts-Universität Kiel 83
In: Journal of economic dynamics & control, Band 15, Heft 4, S. 731-740
ISSN: 0165-1889
In: International journal of forecasting, Band 6, Heft 3, S. 337-348
ISSN: 0169-2070
In: Vierteljahrshefte zur Wirtschaftsforschung, Band 91, Heft 3, S. 11-44
ISSN: 1861-1559
SSRN
In: Journal of economic dynamics & control, Band 37, Heft 8, S. 1479-1499
ISSN: 0165-1889
We introduce a dynamic banking-macro model, which abstains from conventional mean-reversion assumptions and in which - similar to Brunnermeier and Sannikov (2010) - adverse asset-price movements and their impact on risk premia and credit spreads can induce instabilities in the banking sector. To assess such phenomena empirically, we employ a multi-regime vector autoregression (MRVAR) approach rather than conventional linear vector autoregressions. We conduct bivariate empirical analyses, using country-specific financial-stress indices and industrial production, for the U.S., the UK and the four large euro-area countries. Our MRVAR-based impulse-response studies demonstrate that, compared to a linear specification, response profiles are dependent on the current state of the economy as well as the sign and size of shocks. Previous multi-regime-based studies, focusing solely on the regime-dependence of responses, conclude that, during a high-stress period, stress-increasing shocks have more dramatic consequences for economic activity than during low stress. Conducting size-dependent response analysis, we find that this holds only for small shocks and reverses when shocks become sufficiently large to induce immediate regime switches. Our findings also suggest that, in states of high financial stress, large negative shocks to financial-stress have sizeable positive effects on real activity and support the idea of unconventional monetary policy measures in cases of extreme financial stress.
BASE
In: Mathematical and computer modelling 29,10/12
In: Center for Quantitative Risk Analysis (CEQURA), Working Paper Number 19, 2021
SSRN
Working paper