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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
volatility models(such as GARCH and stochastic volatility). Within the class of realized covariance models we focus on the …
Persistent link: https://www.econbiz.de/10013095084
assets. Building on this idea, we propose the use of a highly flexible and tractable model to forecast the volatility of an …
Persistent link: https://www.econbiz.de/10010407672
Persistent link: https://www.econbiz.de/10009691781
The increased availability of high-frequency data provides new tools for forecasting of variances and covariances between assets. However, recent realized (co)variance models may suffer from a 'curse of dimensionality' problem similar to that of multivariate GARCH specifications. As a result,...
Persistent link: https://www.econbiz.de/10010407673
We investigate how individual equity prices react to stock specific expected jump components. We find that a portfolio buying stocks with negative expected jump component and selling stocks with positive expected jump component earns significant returns, equal to 51 basis points per month.The...
Persistent link: https://www.econbiz.de/10012898429
Persistent link: https://www.econbiz.de/10009725302
Dynamic Conditional Correlation (DCC) model by allowing for a clustering structure of the univariate GARCH parameters. The … model can be estimated in two steps, the first devoted to the clustering structure, and the second focusing on correlation …
Persistent link: https://www.econbiz.de/10013125314
Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons … properties; DCC is not a special case of Generalized Autoregressive Conditional Correlation (GARCC), which has testable …
Persistent link: https://www.econbiz.de/10009776381
In this note we provide the analytical gradient of the full model likelihood of the DCC specification of Engle (2002), the generalized version of Cappiello et al. (2006), and of the cDCC model of Aielli (2008)
Persistent link: https://www.econbiz.de/10013132023