volatility of carbon emissions, it is not surprising that crude oil and coal have recently become a very important research topic … causality and volatility spillovers in spot and futures prices of carbon emissions, crude oil, and coal. A likelihood ratio test … is developed to test the multivariate conditional volatility Diagonal BEKK model, which has valid regularity conditions …

realized measure of co-volatility matrix simultaneously. The paper also considers an alternative multivariate asymmetric … function to develop news impact curves. We consider Bayesian MCMC estimation to allow non-normal posterior distributions. For …

Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …

accounts for time variation in macroeconomic volatility, known as the great moderation. In particular, we consider an … volatility processes and mixture distributions for the irregular components and the common cycle disturbances enable us to … that time-varying volatility is only present in the a selection of idiosyncratic components while the coefficients driving …

volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are …

This paper features an analysis of the cointegration relationships among agricultural commodity, ethanol and Cushing … cointegration and Markov-switching VECM and Impulse Response Analysis, confirms that these markets have significant linkages which … vary according to whether they are in low or high volatility regimes. …