for exogenous shock to market data. After the data fitting and VaR estimation, we conclude that the range-based volatility … regime switching into volatility process can boost the efficiency for VaR estimation. We also present an empirical … with non-regime switching volatility model, our model outperforms other alternatives on the estimation of volatility …

foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial … Generalized Method of Moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We … by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and …

dynamics adapts to the non-normal nature of financial data, which helps to robustify the volatility estimates. The new model … volatility forecasting of stock returns and exchange rates. …