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Network VAR Models to Measure Financial Contagion
Author(s) -
Daniel Felix Ahelegbey,
Paolo Giudici,
Shatha Qamhieh Hashem
Publication year - 2020
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3525486
Subject(s) - measure (data warehouse) , financial contagion , vector autoregression , economics , econometrics , business , finance , financial market , computer science , data mining
Financial contagion among countries can arise from different channels, the most important of which are financial markets and bank lending. The paper aims to build an econometric network approach to understand the extent to which contagion spillovers (from one country to another) arise from financial markets, from bank lending, or from both. To achieve this aim we consider a model specification strategy which combines Vector Autoregressive models with network models. The paper contributes to the contagion literature with a model that can consider bank exposures and financial market prices, jointly and not only separately. From an empirical viewpoint, our results show that both bilateral exposures and market prices act as contagion channels in the transmission of shocks arising from a country to international financial markets. While the impact of the former is more stable in time, the latter is more volatile and reacts to a wider variety of events.

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