The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …

simulation algorithm exists for this process, at present this is not the case for the Heston stochastic volatility model, where …

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 …

We study the impact of private information on volatility in financial markets. We develop a comprehensive framework to … private information on prices and the effects of public information on volatility. Using a high-frequency 30-year U … statistically and economically significant explanatory variables for volatility. Private information is more important than public …

We study the impact of private information on volatility in financial markets. We develop a comprehensive framework to … private information on prices and the effects of public information on volatility. Using a high-frequency 30-year U … statistically and economically significant explanatory variables for volatility. Private information is more important than public …