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 …

The purpose of the paper is to examine latent volatility Granger causality for four renewable energy Exchange Traded … coefficient autoregressive (VRCAR) process for the shocks of returns, we derive Latent Volatility Granger causality from the … Diagonal BEKK multivariate conditional volatility model. We follow Chang et al. (2015)’s definition of the co-volatility …

dynamic factor and a vector autoregressive model and includes stochastic volatility, denoted by FAVAR-SV. Next, a Bayesian … risk features like volatility and largest loss, which indicates that complete densities provide useful information for risk. …

The paper develops a novel realized matrix-exponential stochastic volatility model of multivariate returns and realized …. The volatility and co-volatility spillovers are examined via the news impact curves and the impulse response functions … from returns to volatility and co-volatility. …

predicting monthly US excess stock returns and volatility over the period 1980-2005. Factor-augmented predictive regression … superior market timing ability and volatility timing ability, while a mean-variance investor would be willing to pay an annual …

. We find that our implied volatility (IV) sentiment measure, jointly derived from index and single stock options, explains …