allowing the conditional variance of a particular market to depend on past volatility shocks in other markets. The inter …. Extending the model to incorporate leverage effects leads to further improvement in the volatility fit. We compare weight …

It has been established in the literature that volatility of stock returns exhibits complex properties of not only … volatility clustering, but also long memory, regime change, and substantial outliers during turbulent and calm periods. Hence …, this paper seeks to analyze volatility spillover, co-movements, independence and contagion in the Chinese, Japanese …

characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …

forecasting horizons. Therefore, a long memory volatility model compared to a short memory GARCH model does not appear to improve …

)variances of the Dow Jones and the German stock index DAX, we analyze intra-daily volatility spillovers between the US and German …-synchronous and partially overlapping opening hours of the two markets. We find evidence of significant short-term volatility … ('meteor-shower effects').Furthermore, we find that during the subprime crisis the general persistence of short-term volatility …

domestic volatility after good shocks but a bad hedge after crashes …

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 …