a proportionality constant which is comparable to the spot rate volatility. This suggests that forward rate market … volatility `hump' around one year found by several authors (and which we confirm). Finally, the number of independent components …

importance of the market movements. These indices are based on the price volatility and are computed by integrating mapped asset …

volatility of revenues, have failed to save a sufficiently high proportion of their resource revenues and failed to make high …

realized volatility models, not confusing thresholds, asymmetry and leverage, not underestimating the complexity of … multivariate volatility models, and thinking carefully about forecasting models and expertise …

correlations and volatility spillovers between crude oil and stock index returns, pricing exotic options using the Wang transform …, the rise and fall of S&P500 variance futures, predicting volatility using Markov switching multifractal model: evidence …, forecasting volatility via stock return, range, trading volume and spillover effects: the case of Brazil, estimating and …

mean and volatility. The endogenous structural breakpoint unit root test, the autoregressive distributed lag (ARDL) model …, and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model … reached a peak in 2008. We also find that that the volatility of global fertilizer prices and crude oil price from March to …

This study examines the conditional volatility and correlation dependency and interdependency for the four major … volatility. These results have become more pervasive when the exchange rate and FFR are included. Monetary policy also has a …