- specifically, volatility clustering effectively captured by a GARCH model - this approach achieves global identification of shocks … while allowing for volatility spillovers across them. Findings reveal that increased variance in aggregate demand shocks …

paper investigates the impact of EPU on the crude oil return volatility and which EPU index has the most forecasting power … the crude oil return volatility, but the effect is short-lived and the decay period is about one year. Particularly, our … results show that the US EPU index has the best forecasting power for crude oil return volatility over the long-term, whereas …

In this paper, an attempt has been made to model the volatility of NIFTY index of National Stock Exchange (NSE) and … comprises 3736 data points for the analysis by using Box-Jenkins or ARIMA model. The volatility in the Indian stock market … suggested by Hannan-Rissanen. As per the analysis, ARIMA (1,0,1) model was found to be the best fit to forecast the volatility …

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 …

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