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. …

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. …

volatility raises inflation; (2) the Friedman hypothesis that inflation raises inflation volatility; and (3) the Black hypothesis … that output volatility raises output growth, and that output volatility reduces inflation. For Brazil, we do not find any …

The article deals with a typical phenomenon of financial time series - volatility. These time series usually embody … intermittent periods of relative "calm" and quite high variability. A volatility modelling of time series is made with the help of … special econometric volatility models which characterize the so-called conditional heteroskedasticity. The goal of this paper …

breaks) in the volatility of financial time series. Comparative study of three techniques: ICSS, NPCPM and Cheng's algorithm … breaks in volatility, while Cheng's technique works well only when a single break occurs. …