for forecasting the volatility of both the TASI and the TIPISI in the context of petrochemical industries, as this model … outperforms the other models in model estimation and daily out-of-sample volatility forecasting of the two indices. This study is …

market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …

. This study uses the Diebold and Yilmaz index model to analyze and measure volatility spillovers and interconnectedness … among APEC stock markets. The objective is to identify major transmitters of volatility spillovers and assess the magnitude … of different crisis cycles. The results show that the US is the major contributor (69.54%) to volatility spillovers in …

Due to the high relevance of 1-day volatility forecasts and the increasing demand for zero-day-to-expiration (0DTE …) options on the S&P 500, the Cboe recently introduced the 1-Day Volatility Index (VIX1D). Compared to the longer …-term volatility indices of the VIX family, it is overall lower and more volatile, shows a weaker negative correlation with the S&P 500 …

frequency volatilities and correlations ; Dynamic conditional correlation ; Spline-GARCH ; Idiosyncratic volatility ; Long …