Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good … forecasts of future volatility are critical for the implementation and evaluation of asset pricing theories. In response to this …, a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility at the daily …

forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting … ARCH or stochastic volatility models, which often perform poorly at intraday frequencies. Use of realized volatility … variation, we formally develop the links between the conditional covariancematrix and the concept of realized volatility. Next …

-term business survey conducted by Bank of Japan), GDP, industrial production (preliminary), PPI, CPI (Tokyo area), the unemployment … components have return impacts also have impacts on deals and volatility. The announcement itself, in addition to the magnitude … of surprise, is found to increase the deals and price volatility in the immediately after the announcement. In addition …

We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study … although the conditional correlation between the mean and volatility is negative, the unconditional correlation is positive due …

the relation between exchange rate variability and stock return volatility and by decomposing this relation into … rates, we find a significant increase in the volatility of U.S. multinational monthly stock returns corresponding to the … period of increased exchange rate variability. This increase in stock return volatility is also significant relative to the …