volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by … between markets and somewhat weaker temporal effects with regard to the US equity market - volatility spillovers decrease when … markets are characterized by greater temporal proximity. Volatility spillovers also present a high degree of …

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 …

. However, there is limited evidence on the market effects of setting those targets. Using a GARCH model with a trend developed … targets on public companies' stock price returns and volatility. We find no evidence that committing or setting a target … yields higher returns but contributes to a reduction in price volatility, albeit the impact is short-lived. In view of these …

Volatility (SV) and Generalised Autoregressive Conditional Heteroskedasticity (GARCH) models which are both extended to include … improved ex-post volatility measurements but has also inspired research into their potential value as an informa-tion source … for longer horizon volatility forecasts. In this paper we explore the forecasting value of these high fre-quency series in …

heteroskedasticity (GARCH) models capture extreme events in stock market returns. We estimate Hill's tail indexes for individual S&P 500 … stock market returns ranging from 1995-2014 and compare these to the tail indexes produced by simulating GARCH models. Our … results suggest that actual and simulated values differ greatly for GARCH models with normal conditional distributions, which …

Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been … employed for modeling financial return data. We consider a mixed-normal distribution coupled with a GARCH-type structure which … can generate a plausible disaggregation of the conditional variance process, in which the components' volatility dynamics …