According to the Mixture of Distributions Hypothesis (MDH), returns volatility and trading volume are driven by a …) volatility and trading volume changes in different financial markets. An implication is that returns volatility in one stock … market should show positive and contemporaneous correlation with returns volatility in another stock market. This paper tests …

-parametric regression approach to next-day volatility forecasting. A second finding is that the GARCH(1,1) model severely over-estimated the … unconditional variance leads to poor volatility forecasts during the period under discussion with the MSE of GARCH(1,1) 1-year ahead … volatility more than 4 times bigger than the MSE of a forecast based on historical volatility. We test and reject the hypothesis …

This study examines the statistical properties of volatility. Fractal dimension, probability distribution and two …-point volatility correlation are used to measure and compare volatility among six different markets for the 12-year period from Jan. 1 … different in their resistance to volatility : Tokyo has a higher ability to dissipate volatility. This phenomenon implies that …

Volatility plays an important role in the explanation of prices of securities and their derivatives as well as risk … problem of volatility should not be underestimated for the causes of lack of the making in the order book. The introduction of … not seem even so important. We test in this paper the conditional volatility of a certain number of securities considered …

the arrival rates of trades and trade composition on market volatility, liquidity and depth. We find that although … volatility increases with the forecasted arrival rates of total trades, it is relatively independent of the forecasted …