volatility and long-term trend are driven by an external stochastic factor process. The robust utility functional is defined in …

autoregressive processes revealing time-varying stochastic volatility. The factor volatilities capture risk inherent to the term … additional determinants of future excess returns. Finally, we illustrate that the yield and volatility factors are closely …

Information ows across international financial markets typically occur within hours, making volatility spillover appear … contemporaneous in daily data. Such simultaneous transmission of variances is featured by the stochastic volatility model developed in … heteroscedasticity of the structural volatility innovations, and estimation takes place in an appropriately specified state space setup …

In this paper, we study the dynamic interdependencies between high-frequency volatility, liquidity demand as well as …. Liquidity is causal for future volatility but not vice versa. Furthermore, trade sizes are negatively driven bypast trading …

Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management. The … the daily or lower frequency volatility can be obtained by summing over squared high-frequency returns. In turn, this so …{called realized volatility can be used for more accurate model evaluation and description of the dynamic and distributional structure …

, especially on the BS implied volatility. Implied binomialtrees (IBT) models capture the variations of the implied volatility … known as \volatility smile". They provide a discrete approximation to the continuous risk neutral process for the underlying … Barle and Cakici (BC). After the formation of IBT we can estimate the implied local volatility and thestate price density …

financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH … to forecast financial markets volatility. The real data in this study uses British Pound-US Dollar (GBP) daily exchange …