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Title: Estimation and model-based combination of causality networks Authors:  Roberto Panzica - Goethe University House of finance (Italy) [presenting]
Massimiliano Caporin - University of Padova (Italy)
Giovanni Bonaccolto - University of Padova (Italy)
Abstract: Causality is a widely used concept in theoretical and empirical economics. The recentnancial economics literature has used Granger causality to detect the presence of contemporaneous links between nancial 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 t 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 dierent 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.