model to be extended with stochastic volatility and heavy tailed disturbances. We develop a flexible estimation method for …

We consider eight different measures (issued amount, coupon, listed, age, missingprices, price volatility, number of …

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 …

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 …