Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/150015 
Erscheinungsjahr: 
2017
Schriftenreihe/Nr.: 
SAFE Working Paper No. 165
Verlag: 
Goethe University Frankfurt, SAFE - Sustainable Architecture for Finance in Europe, Frankfurt a. M.
Zusammenfassung: 
Causality is a widely-used concept in theoretical and empirical economics. The recent financial economics literature has used Granger causality to detect the presence of contemporaneous links between financial institutions and, in turn, to obtain a network structure. Subsequent studies combined the estimated networks with traditional pricing or risk measurement models to improve their fit to empirical data. In this paper, we provide two contributions: we show how to use a linear factor model as a device for estimating a combination of several networks that monitor the links across variables from different viewpoints; and we demonstrate that Granger causality should be combined with quantile-based causality when the focus is on risk propagation. The empirical evidence supports the latter claim.
Schlagwörter: 
granger causality
quantile causality
multi-layer network
network combination
JEL: 
C58
C31
C32
G01
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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