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with volatility, by flexibly modeling the bivariate distribution of the return and volatility innovations nonparametrically …. Its novelty is in modeling the joint, conditional, return-volatility distribution with an infinite mixture of bivariate …
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This paper is concerned with the Bayesian analysis of stochastic volatility (SV) models with leverage. Specifically, the paper shows how the often used Kim et al. [1998. Stochastic volatility: likelihood inference and comparison with ARCH models. Review of Economic Studies 65, 361–393] method...
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This paper assesses the roles of various factors influencing the volatility of crude oil prices and the possible linkage between this volatility and agricultural commodity markets. Stochastic volatility models are applied to weekly crude oil, corn and wheat futures prices from November 1998 to...
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