Over the past couple of decades, the number of volatility indices has increased rapidly. These indices seek to … represent the market's expectation of realized volatility over the coming month, based on the prices of options traded on each … underlying equity index. Although the dynamics of realized volatility spillover have been studied extensively, very few studies …

The paper aims to estimate the impact of calendar effects in volatility of the preferred and ordinary shares of Vale …. The data researched were the stocks prices Vale between January 2, 1995 and October 26, 2011. The Stochastic Volatility … and the public offer of the stocks of Vale changed the behavior of volatility of the shares. The calendar effects have …

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from … these two family forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the …

Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from … these two family forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the …

Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many … forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the assumptions of jumping …

Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many … forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the assumptions of jumping …

volatility. The research also examines the impact of powerful foreign capital markets on the Greek Stock Exchange market, the … seasonality returns (Day-of-the-Week effect) and the volatility structure. Design/methodology/approach - The analysis of data is …-GARCH model demonstrate that the debt crisis and, therefore, its consequences increase the FTSE / ASE 20 index volatility and the …

can generate a plausible disaggregation of the conditional variance process, in which the components' volatility dynamics …

aggregate U.S. stock market on: 1) the volatility predictions of asymmetric time series models, 2) implied volatility, and 3 …) realized volatility. Both asymmetric time series models and implied volatility predict an increase in volatility following … large negative surprise returns and ex post realized volatility normally rises as predicted. However, while asymmetric time …