volatility of a time series. We derive the main properties of the model and apply it to all agricultural commodities in the … volatility process and, according to homoscedasticity tests, outperforms the ARCH(1) and GARCH(1,1) models, some of the most … popular approaches used in the literature to analyze price volatility. Keywords: Agricultural prices, volatility, GARCH models. …

prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …

Conditional Heteroscedasticity (FIEGARCH) model, often used for modeling long memory in volatility of financial assets. The newly …

In this work we focus on the application of wavelet-based methods in volatility modeling. We introduce a new, wavelet …-based estimator (wavelet Whittle estimator) of a FIEGARCH model, ARCH-family model capturing long-memory and asymmetry in volatility …