high-frequency data better and produce more accurate forecasts than competing realized volatility and option …

This paper proposes an ex post volatility estimator, called mixed interval realized variance (MIRV), that uses high … theoretical properties of the new volatility estimator are illustrated and compared with those of the two currently dominant … realized measures: realized volatility and realized range. A simulation study adds to this comparison and highlights some …

the financial crisis, suggesting that an extreme volatility period requires models that can adapt quickly to turmoil …

The contributions of error distributions have been ignored while modeling stock market volatility in Nigeria and … studies have shown that the application of appropriate error distribution in volatility model enhances efficiency of the model … asymmetric volatility models each in Normal, Student's-t and generalized error distributions with the view to selecting the best …

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 from … these two family forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the …

Volatility has been used as an indirect means for predicting risk accompanied with an asset. Volatility explains the … variations in returns. Forecasting volatility has been a stimulating problem in the financial systems. This study examined the … different volatility estimators and determined the most efficient volatility estimator. The study described the accuracy of the …

Volatility had been used as an indirect means for predicting risk accompanied with the asset. Volatility explains the … variations in returns. Forecasting volatility had been a stimulating problem in the financial systems. The study examined the … different volatility estimators and determined the efficient volatility estimator. The study described the accuracy of …

compute a time-transformation (TT) function using the intraday integrated volatility estimated by a jump-robust method. The …-martingale hypothesis of the stock log-price process and estimate the daily realized volatility. Our method improves the normality … approximation of the standardized business-time return distribution. Our Monte Carlo results show that the integrated volatility …