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We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...
Persistent link: https://www.econbiz.de/10010515402
We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...
Persistent link: https://www.econbiz.de/10010407524
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 …
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formulate and examine precise and separate measures of return spillovers and volatility spillovers. Our framework facilitates … evidence of divergent behavior in the dynamics of return spillovers vs. volatility spillovers: Return spillovers display a … gently increasing trend but no bursts, whereas volatility spillovers display no trend but clear bursts. -- Contagion ; Herd …
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stock return data, which includes both features and allows the co-existence of long memory in volatility and short memory in … returns. We extend this model to allow the financial parameters governing the volatility-in-mean effect and the leverage …
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