Estimation and model-based combination of causality networks

Giovanni Bonaccolto, Massimiliano Caporin and Roberto Calogero Panzica

No 165, SAFE Working Paper Series from Leibniz Institute for Financial Research SAFE

Abstract: 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.

Keywords: granger causality; quantile causality; multi-layer network; network combination (search for similar items in EconPapers)
JEL-codes: C31 C32 C58 G01 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-ecm and nep-net
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:safewp:165

DOI: 10.2139/ssrn.2909585

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