decomposing realized volatility in its continuous and discontinuous jump component. First, we analyze the relation between … volatility and trading activity. Coherent with existing studies we find that the driving factor of the relation between … Data ; Realized Volatility ; Price Jump ; Trading Activity ; Urgent Market Message …

This article analyzed the presence of long memory in volatility in 5 Asian equity indices namely SENSEX, CNIA, NIKKEI …-sample forecast accuracy. The results confirmed the presence of long memory in both the return and volatility series for all the five … markets under study. Among the group, CNIA and STI showed most persistence in both the return and conditional volatility. In …

We studied (i) the volatility feedback effect, defined as the relationship between contemporaneous returns and the … market-based volatility, and (ii) the leverage effect, defined as the relationship between lagged returns and the current … market-based volatility. For our analysis, we used daily measures of volatility estimated from high frequency data to explain …

volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period …

Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments … implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors …, such as GARCH models, are investigated, to determine if they are more appropriate for predicting future return volatility …

indicate that the volatility of stock market returns is increased in all cases examined. …

first is the symmetric Generalized ARCH (1,1) model. However, previous studies found that volatility tends to increase more … higher seasonality in volatility rather on average returns. For this reason the Periodic-GARCH (1,1) is estimated. The …