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This paper proposes structured parametrizations for multivariate volatility models, which use spatial weight matrices … models as well as for Stochastic- and Realized-Volatility models. The paper also discusses how to construct spatial weight …
Persistent link: https://www.econbiz.de/10012719984
In many multivariate volatility models, the number of parameters increases faster than the cross-section dimension …
Persistent link: https://www.econbiz.de/10013095932
intra-day data. The paper analyses the relationships among the S&P 500 Index and futures prices, returns and volatility of … intra-day temporal aggregation in examining returns relationships and volatility spillovers across the equity and energy … futures markets, and the effects of overnight returns, volume, realized volatility, asymmetry, and spillovers across the four …
Persistent link: https://www.econbiz.de/10011441584
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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...
Persistent link: https://www.econbiz.de/10011892696
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
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Persistent link: https://www.econbiz.de/10011629466
Persistent link: https://www.econbiz.de/10011373256
DAMGARCH extends the VARMA-GARCH model of Ling and McAleer (2003) by introducing multiple thresholds and time-dependent structure in the asymmetry of the conditional variances. DAMGARCH models the shocks affecting the conditional variances on the basis of an underlying multivariate distribution....
Persistent link: https://www.econbiz.de/10012720446