Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/126235
Authors: 
Sandqvist, Anna Pauliina
Year of Publication: 
2015
Series/Report no.: 
KOF Working Papers, KOF Swiss Economic Institute, ETH Zurich 398
Abstract: 
In this paper a multivariate dynamic conditional correlation (DCC) general autoregressive conditional heteroskedasticity (GARCH) framework is employed to study dynamics of sectoral comovement across manufacturing sectors both in Germany and in the United States. Asymmetric effects both in conditional volatilities as well as in conditional correlations are being assessed, which have hardly been considered in intersectoral comovement studies by now. We find that comovement across sectors is not stable, but fluctuates substantially. Particularly, sectoral comovement in German and US manufacturing seem to have increased considerably during some recesssion periods, especially in the recession of 2008-2009, but not during every recession. Moreover, we examine the role of stock market volatility respectively uncertainty for the dynamic correlations and find it to have a signifificant effect in both countries.
Subjects: 
business cycles
sectoral comovement
time-varying correlations
DCC-GARCH
JEL: 
E32
C32
Document Type: 
Working Paper

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