This paper employs a modified multivariate GARCH model to test for cross-country mean and volatility transmission among … higher in Latin America. There is evidence of significant leverage effects and volatility persistence and, in the cases of …

We develop a discrete-time affine stochastic volatility model with time-varying conditional skewness (SVS). Importantly …, we disentangle the dynamics of conditional volatility and conditional skewness in a coherent way. Our approach allows … autoregressive conditional heteroskedasticity (GARCH), and stochastic volatility with jumps (SVJ) models. Our results are not due to …

Volatility has been one of the most active and successful areas of research in time series econometrics and economic … empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications. Volatility is … inherently latent, and Section 1 begins with a brief intuitive account of various key volatility concepts. Section 2 then …

This article empirically investigates the volatility spillover of stock returns from the market to disaggregated … from 1973 to 2008. The key findings are two-fold. In the UK, whilst some industries are more sensitive to market volatility … volatility of foreign markets seems to have more impact than the domestic markets on some key industries in the US, suggesting …

This paper introduces the class of volatility modulated Lévy-driven Volterra (VMLV) processes and their important … volatility is regarded as a key factor for modelling energy spot prices. Third, the model allows for the possibility of jumps and …

This paper proposes a parsimonious threshold stochastic volatility (SV) model for financial asset returns. Instead of … imposing a threshold value on the dynamics of the latent volatility process of the SV model, we assume that the innovation of … time-varying volatility of returns, but also can accommodate the asymmetric shape of conditional distribution of the …