Arbeitspapier

Estimation and model-based combination of causality networks

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.

Language
Englisch

Bibliographic citation
Series: SAFE Working Paper ; No. 165

Classification
Wirtschaft
Financial Econometrics
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Financial Crises
Subject
granger causality
quantile causality
multi-layer network
network combination

Event
Geistige Schöpfung
(who)
Bonaccolto, Giovanni
Caporin, Massimiliano
Panzica, Roberto Calogero
Event
Veröffentlichung
(who)
Goethe University Frankfurt, SAFE - Sustainable Architecture for Finance in Europe
(where)
Frankfurt a. M.
(when)
2017

DOI
doi:10.2139/ssrn.2909585
Handle
URN
urn:nbn:de:hebis:30:3-428353
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bonaccolto, Giovanni
  • Caporin, Massimiliano
  • Panzica, Roberto Calogero
  • Goethe University Frankfurt, SAFE - Sustainable Architecture for Finance in Europe

Time of origin

  • 2017

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