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. …

The estimation of inflation volatility is important to Central Banks as it guides their policy initiatives for … Heteroscedasticity (GARCH) family with a view to providing a parsimonious approximation to the dynamics of Nigeria's inflation volatility … impact of inflation shocks on headline volatility die out rather quickly. Secondly, substantial evidence of asymmetric effect …

volatility estimation is considered. The empirical analysis is performed on futures contracts of both the Standard and Poors 500 … importance of taking asymmetric effects (leverage effects) into account in volatility forecasts when it comes to risk management …

This study first investigates the short and long-run effectsof exchange rate, output gap and output gap volatility on … inflation volatility.Also, causality tests results indicate that changes in the exchangerate, output gap volatility, and output … gap will have permanent andtemporary causal effects on inflation volatility. The policymakersshould carefully consider …

This paper discusses estimation of US inflation volatility using time varying parameter models, in particular whether … it should be modelled as a stationary or random walk stochastic process. Specifying inflation volatility as an unbounded … frequency behaviour commonly observed in estimates of volatility. We therefore propose an alternative model with a change …