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We propose a spatiotemporal approach for modeling risk spillovers using time-varying proximity matrices based on observable financial networks and introduce a new bilateral specification. We study covariance stationarity and identification of the model, and analyze consistency and asymptotic...
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We propose a spatial approach for modeling risk spillovers using financial time-varying proximity matrices based on observable networks. We show how these methods could be useful in (i) isolating risk channels, risk spreaders and risk receivers, (ii) investigating the role of portfolio...
Persistent link: https://www.econbiz.de/10012997533
We document asymmetric networks of implied volatility spillovers across global stock and commodity markets as well as … the US Treasury market. There are significant asymmetries in the roles of US stock and bond markets as volatility … suppliers to other countries and markets. Shocks from the US generate intensifying volatility spillovers across countries and …
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We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the high-dimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors....
Persistent link: https://www.econbiz.de/10011566388
We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the highdimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors. The...
Persistent link: https://www.econbiz.de/10011562907