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framework is a bivariate volatility model, where volatility spillovers of either positive or negative sign are allowed for. Our … countries. Regarding the volatility spillovers, such spillovers from bond returns to those of stocks are stronger than the other … results show that by considering time-varying return and volatility spillovers when calculating the risk-minimising portfolio …
Persistent link: https://www.econbiz.de/10011663407
ability of these funds by estimating hedge ratios and optimal portfolio weights. Taking a short position in the volatility of …
Persistent link: https://www.econbiz.de/10013230114
This paper suggests how to quantify asymmetries in volatility spillovers that emerge due to bad and good volatility … stocks at the disaggregate level. Moreover, the spillovers of bad and good volatility are transmitted at different magnitudes …
Persistent link: https://www.econbiz.de/10010509638
allows for volatility feedback of either sign, i.e., positive or negative. In the previous literature, negative volatility … GARCH processes ; volatility feedback …
Persistent link: https://www.econbiz.de/10003764299
This paper employs the unrestricted extended constant conditional correlation GARCH specification proposed in Conrad and Karanasos (2008) to examine the intertemporal relationship between the uncertainties of inflation and output growth in the US. We find that inflation uncertainty effects...
Persistent link: https://www.econbiz.de/10012723007
We extend the class of GARCH models to comprise asymmetric and nonlinear effects on volatility. In particular, we do … not only explain future volatility of a time series on its own past, but allow for external influences and spillovers …
Persistent link: https://www.econbiz.de/10012735981
Volatility is a key measure of risk in financial analysis. The high volatility of one financial asset today could … affect the volatility of another asset tomorrow. These lagged effects among volatilities - which we call volatility … freedom. Moreover, we study volatility spillovers among a large number of assets. To this end, we use penalized estimation of …
Persistent link: https://www.econbiz.de/10012943774
We introduce a conditional volatility model that combines persistent volatility dynamics with spillovers from a wide … volatility dynamics. We show that despite the many parameters resulting from this wide cross-section, this spillover … autoregressive (SPAR) realized variance model forecasts accurately and can be used in estimating large volatility spillover networks …
Persistent link: https://www.econbiz.de/10013051150
We propose global and disaggregated spillover indices that allow us to assess variance and covariance spillovers, locally in time and conditionally on time-t information. Key to our approach is the vector moving average representation of the half-vectorized 'squared' multivariate GARCH process...
Persistent link: https://www.econbiz.de/10012988156
. A state-dependent volatility spillover GARCH hedging strategy is developed to capture the regime switching global equity … volatility spillover effect. Empirical results show that the NFNE futures exhibit superior effectiveness as an instrument for …
Persistent link: https://www.econbiz.de/10011883272